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Digital Transformation in Healthcare: Technology Acceptance and Its Applications

Angelos I. Stoumpos, Fotis Kitsios, Michael A. Talias

International Journal of Environmental Research and Public Health · 2023 · CC BY

doi:10.3390/ijerph20043407

Abstract

Technological innovation has become an integral aspect of our daily life, such as wearable and information technology, virtual reality and the Internet of Things which have contributed to transforming healthcare business and operations. Patients will now have a broader range and more mindful healthcare choices and experience a new era of healthcare with a patient-centric culture. Digital transformation determines personal and institutional health care. This paper aims to analyse the changes taking place in the field of healthcare due to digital transformation. For this purpose, a systematic bibliographic review is performed, utilising Scopus, Science Direct and PubMed databases from 2008 to 2021. Our methodology is based on the approach by Wester and Watson, which classify the related articles based on a concept-centric method and an ad hoc classification system which identify the categories used to describe areas of literature. The search was made during August 2022 and identified 5847 papers, of which 321 fulfilled the inclusion criteria for further process. Finally, by removing and adding additional studies, we ended with 287 articles grouped into five themes: information technology in health, the educational impact of e-health, the acceptance of e-health, telemedicine and security issues.

Full text

From PubMed Central, U.S. National Library of Medicine, as current on Oct 17, 2026. Paragraph numbers are ours, so an answer can point at one.

1. Introduction

Digital transformation refers to the digital technology changes used to benefit society and the healthcare industry. Healthcare systems need to use digital technology for innovative solutions to improve healthcare delivery and to achieve improvement in medical problems. The digital transformation of healthcare includes changes related to the internet, digital technologies, and their relation to new therapies and best practices for better health management procedures. The quality control of massive data collected can help improve patients’ well-being and reduce the cost of services. Digital technologies will also impact medical education, and experts will deceive new ways to train people. Now in this way, practitioners will face new opportunities.

Digital transformation is an ongoing process that can create opportunities in the health sector, provided the necessary infrastructure and training are available. Under Regulation (EU) 2021/694 of the European Parliament and of the Council of 29 April 2021, establishing the Digital Europe Program and repealing Decision (EU) 2015/2240, digital transformation is defined as the use of digital technologies for the transformation of businesses and services. Some technologies that contribute to digital transformation are the digital platform of the Internet of Things, cloud computing and artificial intelligence. At the same time, the sectors of society that are almost affected are telecommunications, financial services and healthcare.

Digital health can play a role in innovation in health, as it facilitates the participation of patients in the process of providing health care. The patient can overcome his poor state of health when they are no longer in a state of well-being. In this case, the patient is given the to participate in the decision-making regarding their health care. Searching for information through the patient’s internet or using digital health applications (e.g., via mobile phone) is essential for the patient to make the right decision about their health.

In the coming years, health change is expected to focus primarily on the patient, who will take on the “health service consumer” role as the patient seeks control over their health management. The healthcare industry will be shaped based on the needs and expectations of this new “consumer of health services”, which will require upgraded experiences with the main characteristics of personalisation, comfort, speed and immediacy in the provision of services. Gjellebaek C. et al. argue that new digital technologies will shift healthcare towards digitalisation, bringing significant benefits to patients and healthcare infrastructure. Some of the benefits listed by Gjellebaek C. are the increase in employee productivity, the improvement of the efficiency and effectiveness of the operation of the health units, and the reduction of their operating costs.

On the other hand, in terms of health infrastructure, a typical example is the United States, where 75% of hospitals use electronic health record systems, according to Rebekah E. et al.. However, clinicians often report side effects using digital technologies, which can be attributed to their misuse. In addition, some health professionals oppose using these systems and develop solutions that jeopardise patient care. In some countries, such as the United States, the government provides incentives for the “effective use” of e-health technologies, but their results remain uncertain.

Rebekah E. et al. focus more specifically on U.S. hospitals, observing that the remaining countries are relatively in the early stages of transformation. The United Kingdom, for example, has recently pursued troubled e-health initiatives, and Australian hospitals have only recently participated in investments in the digitalisation of their hospital services. At the European Union level, digital health is a critical key strategic priority, in line with the European Strategic Plan 2019–2024 (European Commission).

Today, digital transformation in health is spreading and consolidating rapidly. The purpose of this paper is to provide an assessment of the current literature on digital health transformation, as well as to identify potential vulnerabilities that make its implementation impossible. The ultimate goal is to see how digital technologies facilitate patients’ participation in health and their health.

Due to the rapid development of e-health and digitalisation, data from previous studies are becoming potentially irrelevant. Most studies evaluating digitalisation have relied heavily on quantitative research-based methods. Although quantitative evaluations are required, some of their effects could be omitted.

According to Gopal G. et al., healthcare has the lowest level of digital innovation compared to other industries, such as media, finance, insurance and retail, contributing to limited labour productivity growth. With this article, we seek to reverse this picture and contribute to the emergence of digitalisation as a factor of health innovation while optimising patient outcomes and the cost of services provided. However, to achieve this innovation, systemic changes are needed in healthcare finances, the education of healthcare staff and healthcare infrastructure.

The following section analyses the methodology and its steps, which then contributed to the emergence of our results.

2.1. Search Strategy and Bibliography Reviews

Our research approach is based on the methodology of Webster and Watson, who developed a concept-centric method and an ad hoc classification system in which categories are used to describe areas of literature. Initially, the existing bibliographic reviews were searched to select the databases based on keywords. A retrospective search was then performed to examine the reports of the selected works. Finally, the references of selected works were investigated to increase the search sample through the future search. After selecting the articles, they were grouped according to their content.

Systematic reviews were conducted to place this paper on existing knowledge of digital health, as well as to review prior knowledge in this area and to discuss recognised research questions based on the results of previous studies. A comprehensive review of the published literature was reported by Marques, I. C., & Ferreira, J. J.. The authors explored the potential of existing digital solutions to improve healthcare quality and analysed the emerging trend in digital medicine to evaluate the research question of how stakeholders apply and manage digital technologies for business purposes. The main question is: How and what could be done sustainably and inclusively through innovation to achieve sustainable development goals by taking advantage of Information and Communication Technologies? Recently, researchers have expressed concern about secure communication and user authentication within providing information to patients. In contrast with data storage, information exchange, and system integration, new approaches and uses of patient care processes are envisaged with the prospect of monitoring not only diagnostic statistics but also in-depth analysis of signs and symptoms before and after treatment, essential sources for new research. Table 1 presents the previous bibliographic reviews on which our study was based.

2.2. Network Analysis

Network analysis is considered a branch of graph theory. Our network analysis is based on the similarity of keywords found in identifying the eligible papers. We used visualisation of similarities (VOS) software, version 1.6.18, to construct graphical networks to understand the clustering of the keywords and their degree of dissimilarity. Our network analysis is based on the similarity of keywords found in identifying the eligible papers.

Initial Search

The search was performed on the following databases: Scopus, Science Direct, and PubMed, using the keywords “digital transformation”, “digitalisation”, “Ehealth or e-health”, “mhealth or m-health”, “healthcare” and “health economics”. We selected publications from the search of international journals and conference proceedings. We collected papers from 2008 until 2021. The documents sought belonged to strategy, management, computer science, medicine, and health professions. Finally, the published works were in English only. The total number of articles collected using the keywords as shown in Table 2 was 5847.

We systematically checked the total number of papers 5847 by reading their titles, abstracts, and, whenever necessary, the article’s first page to conclude if each document was relevant as a first step as shown in the Figure 1.

Then, we looked at the titles of the 378 articles, and after reading their summary, we accepted 321 articles. Further studies were rejected because their full text was not accessible. As a result, there were 255 articles in our last search. Of the selected 255 articles, 32 more were added based on backward and forward research. The investigation was completed by collecting common standards from all databases using different keyword combinations. According to the systematic literature review, we follow the standards of Webster and Watson (2002) to reject an article. Since then, we have collected the critical mass of the relevant publications, as shown in Figure 2.

3.1. Chronological Development of the Publications

The categorisation of the articles was based on their content and the concepts discussed within them. As a result, we classify articles into the following categories: information technology in health, the educational impact on e-health, the acceptance of e-health, telemedicine, and e-health security.

Although researchers in Information and Communication Technology and digitalisation conducted studies almost two decades ago, most publications have been published in the last eight years. This exciting finding highlights the importance of this field and its continuous development. Figure 3 shows a clear upward trend in recent years. More specifically, the research field of Information and Communication Technology, in combination with digital transformation, appeared in 2008. However, the most significant number of articles was found in 2019, 2020 and 2021. The number of articles decreased to the lowest in 2009–2011 and 2013–2014. Due to the expansion of the field to new technologies, the researchers studied whether the existing technological solutions are sufficient for implementing digital transformation and what problems they may face.

Figure 3 shows a combination of the articles per year and the number of citations per publication per year.

3.2. Document Type

Of the document types, 59.51 per cent of the articles were categorised as “survey”, while a smaller percentage were in: “case study” (32.53%), “literature review” (5.88%) and “report” (2.08%). However, these documents focused on specific concepts: “information technology in health” (45%), “education impact of e-health” (11%), “acceptance of e-health” (19%), “telemedicine” (7%), “security of e-health” (18%).

As we can see from the following Figure 4, we used network analysis, where the keywords related to digitalisation and digital transformation were identified in the research study. Network analysis, using keywords, came with VOSviewer software to find more breadth and information on healthcare digitalisation and transformation exploration. It was created by analysing the coexistence of keywords author and index. This analysis’s importance lies in the structure of the specific research field is highlighted. In addition, it helped map the intellectual structure of scientific literature. Keywords were obtained from the title and summary of a document. However, there was a limit to the number of individual words. The figure represents a grid focused on reproducing keywords in the literature on the general dimensions of digitalisation. The digitalisation network analysis showed that e-health, telemedicine, telehealth, mobile health, electronic health/medical record, and information systems were the main relevant backgrounds in the literature we perceived. In the healthcare literature, keywords such as “empowerment” and “multicenter study” usually do not lead to a bibliographic search on digitalisation. Figure 4 shows how e-health and telemedicine have gone beyond the essential and most crucial research framework on how they can affect hospitals and the health sector. The potentially small gaps in network analysis can be filled by utilising data in our research study, contributing to future research.

Figure 5 shows the network analysis with the keywords concerning time publication. The yellow colour indicates keywords for most recent years.

Figure 6 presents the density visualisation of keywords.

Figure 7 shows the number of articles per each method (survey, literature review etc.) for each year.

It is evident from Figure 7 that the most used method paper is the survey type and that in the year 2021, we have a high number of surveys compared to previous years.

3.3. Summary of the Included Articles

In Figure 2, we have explained how we collected the critical mass of the 255 relevant publications. We added another 32 articles based on further research with the backward and research methods, which resulted in a total number of 287 articles.

Then, the articles were categorised according to their content. The concepts discussed in the papers are related to information technology in health, the educational impact of e-health, the acceptance of e-health, telemedicine, and e-health security. For this purpose, the following table was created, called the concept matrix table.

4. Concept Matrix

In this section, we provide the Concept matrix table. Academic resources are classified according to if each article belongs or not to any of the five concepts shown in Table 3.

5. Analysis of Concepts

From the articles included in the present study between 2008 and 2021, they were grouped into five categories identified: (i) information technology in health, (ii) acceptance of e-health, (iii) telemedicine, (iv) security of e-health, and (v) education impact of e-health.

5.1. Information Technology in Health

Researchers have studied several factors to maximise the effectiveness and success of adopting new technology to benefit patients. Hospitals can benefit from information technology when designing or modifying new service procedures. Health units can use information and communication technology applications to analyse and identify patients’ needs and preferences, enhancing their service innovation processes. Previous findings conclude that technological capability positively influences patient service and innovation in the service process. These results have significant management implications as managers seek to increase technology resources’ efficiency to achieve patient-centred care as the cornerstone of medical practice.

Informatics facilitates the exchange of knowledge necessary for creating ideas and the development process. The internet supports health organisations in developing and distributing their services more efficiently. Also, Information Technology improves the quality of services, reduces costs, and helps increase patient satisfaction. As new technologies have created opportunities for companies developing high-tech services, healthcare units can increase customer value, personalise services and adapt to their patient’s needs. To this end, the “smart hospitals” should represent the latest investment frontiers impacting healthcare. Their technological characteristics are so advanced that the public authorities need know-how for their conception, construction, and operation.

A new example is reshaping global healthcare services in their infancy, emphasising the transition from sporadic acute healthcare to continuous and comprehensive healthcare. This approach is further refined by “anytime and everywhere access to safe eHealth services.” Recent developments in eHealth, digital transformation and remote data interchange, mobile communication, and medical technology are driving this new paradigm. Follow-up and timely intervention, comprehensive care, self-care, and social support are four added features in providing health care anywhere and anytime. However, the healthcare sector’s already precarious security and privacy conditions are expected to be exacerbated in this new example due to the much greater monitoring, collection, storage, exchange, and retrieval of patient information and the cooperation required between different users, institutions, and systems.

The use of mobile telephony technologies to support health goals contributes to the transformation of healthcare benefits worldwide. The same goes for small and medium-sized healthcare companies, such as pharmacies. A potent combination of factors between companies and customers is the reason for creating new relationships. In particular, mobile technology applications represent new opportunities for integrating mobile health into existing services, facilitating the continued growth of quality service management. Service-based, service-focused strategies have changed distribution patterns and the relationship between resellers and consumers in the healthcare industry, resulting in mobile health and significant pharmacy opportunities. It has been an important research topic in the last decade because it has influenced and changed traditional communication between professionals and patients. An example of a mobile healthcare platform is “Thymun”, designed and developed by Salamah et al. aiming to create intelligent health communities to improve the health and well-being of autoimmune people in Indonesia.

5.2. Acceptance of E-Health

In a long-term project and a population study (1999–2002), Hsu et al. evaluated e-health usage patterns. The authors conclude that access to and use of e-health services are rapidly increasing. These services are more significant in people with more medical needs. Fang (2015) shows that scientific techniques can be an essential tool for revealing patterns in medical research that could not be apparent with traditional methods of reviewing the medical literature. Teleradiology and telediagnosis, electronic health records, and Computer-Aided Diagnosis (CAD) are examples of digital medical technology. France is an example of a country that invests and leads in electronic health records, based on what is written by Manard S. et al.. However, the impact of technological innovation is reflected in the availability of equipment and new technical services in different or specialised healthcare sectors.

On the other hand, Mariusz Duplaga (2013) argues that the expansion of e-health solutions is related to the growing demand for flexible, integrated and cost-effective models of chronic care. The scope of applications that can support patients with chronic diseases is broad. In addition to accessing educational resources, patients with chronic diseases can use various electronic diaries and systems for long-term disease monitoring. Depending on the disease and the symptoms, the devices used to assess the patient’s condition vary. However, the need to report symptoms and measurements remains the same. According to Duplaga, the success of treatments depends on the patient’s involvement in monitoring and managing the disease. The emphasis on the role of the patient is parallel to the general tendency of people and patients to participate in decisions made about their health. Involving patients in monitoring their symptoms leads to improved awareness and ability to manage diseases. Duplaga argues that the widespread use of e-health systems depends on several factors, including the acceptance and ability to use information technology tools, combined with an understanding of disease and treatment.

Sumedha Chauhan & Mahadeo Jaiswal (2017) are on the same wavelength. They claim that e-health applications provide tools, processes and communication systems to support e-health practices. These applications enable the transmission and management of information related to health care and thus contribute to improving patient’s health and physicians’ performance. The human element plays a critical role in the use of e-health, according to the authors. In addition, researchers have studied the acceptance of e-health applications among patients and the general public, as they use services such as home care and search for information online. The meta-analysis they use combines and analyzes quantitative findings of multiple empirical studies providing essential knowledge. However, the reason for their research was the study of Holden and Karsh (2010).

To provide a comprehensive view of the literature acceptance of e-health applications, Holden and Karsh reviewed 16 studies based on healthcare technology acceptance models. Findings show them that the use and acceptance of technological medical solutions bring improvements but can be adopted by those involved in the medical field.

5.3. Telemedicine

On the other hand, telemedicine is considered one of the most important innovations in health services, not only from a technological but also from a cultural and social point of view. It benefits the accessibility of healthcare services and organisational efficiency. Its role is to meet the challenges posed by the socio-economic change in the 21st century (higher demands for health care, ageing population, increased mobility of citizens, need to manage large volumes of information, global competitiveness, and improved health care provision) in an environment with limited budgets and costs. Nevertheless, there are significant obstacles to its standardisation and complete consolidation and expansion.

At present, there are Telemedicine centres that mediate between the patient and the hospital or doctor. However, many factors make this communication impossible. Such factors include equipment costs, connectivity problems, the patient’s trust or belief in the system or centre that applies telemedicine, and resistance to new and modern diagnostics, especially in rural and island areas. Therefore, telemedicine would make it easier to provide healthcare systems in remote areas than having a specialist in all the country’s remote regions. Analysing the concept further, one can easily argue that the pros outweigh the disadvantages. Therefore, telemedicine must be adopted in a concerted effort to resolve all the obstacles we are currently facing. Telemedicine centres and services such as teleradiology, teledermatology, teleneurology, and telemonitoring will soon be included. This means that a few years from now, the patient will not have to go to a central hospital and can benefit remotely from the increased quality of health services. This will save valuable time, make good use of available resources, save patient costs, and adequately develop existing and new infrastructure.

In 2007, the World Health Organisation adopted the following broad description of telemedicine: “The delivery of health care services, where distance is a critical factor, by all health care professionals using information and communication technologies for the exchange of valid information for the diagnosis, treatment and prevention of disease and injuries, research and evaluation, and for the continuing education of health care providers, all in the interests of advancing the health of individuals and their communities ”

According to the Wayback Machine, Canadian Telehealth Forum, other terms similar to telemedicine are telehealth and e-health, which are used as broader concepts of remote medical therapy. It is appropriate to clarify that telemedicine refers to providing clinical services. In contrast, telehealth refers to clinical and non-clinical services, including education, management and research in medical science. On the other hand, the term eHealth, most commonly used in the Americas and Europe, consists of telehealth and other elements of medicine that use information technology, according to the American Telemedicine Association.

The American Telemedicine Association divides telemedicine into three categories: storage-promotion, remote monitoring, and interactive services. The first category includes medical data, such as medical photographs, cardiograms, etc., which are transferred through new technologies to the specialist doctor to assess the patient’s condition and suggest the appropriate medication. Remote monitoring allows remote observation of the patient. This method is used mainly for chronic diseases like heart disease, asthma, diabetes, etc. Its interactive services enable direct communication between the patient and the treating doctor.

Telemedicine is a valuable and efficient tool for people living or working in remote areas. Its usefulness lies in the health access it provides to patients. In addition, it can be used as an educational tool for learning students and medical staff.

Telemedicine is an open and constantly evolving science, as it incorporates new technological developments and responds to and adapts to the necessary health changes within societies.

According to J.J. Moffatt, the most common obstacles to the spread of telemedicine are found in the high cost of equipment, the required technical training of staff and the estimated time of a meeting with the doctor, which can often be longer than the use of a standard doctor. On the other hand, the World Health Organisation states that telemedicine offers excellent potential for reducing the variability of diagnoses and improving clinical management and the provision of health care services worldwide. The World Health Organisation claims, according to Craig et al. and Heinzelmann PJ, that telemedicine improves access, quality, efficiency and cost-effectiveness. In particular, telemedicine can help traditionally under-served communities by overcoming barriers to the distance between healthcare providers and patients. In addition, Jennett PA et al. highlight significant socio-economic benefits for patients, families, health professionals and the health system, including improved patient-provider communication and educational opportunities.

On the other hand, Wootton R. argues that telemedicine applications have achieved different levels of success. In both industrial and developing countries, telemedicine has yet to be used consistently in the healthcare system, and few pilot projects have been able to be maintained after the end of their initial funding.

However, many challenges are regularly mentioned and responsible for the need for more longevity in many efforts to adopt telemedicine. One such challenge is the complexity of human and cultural factors. Some patients and healthcare workers resist adopting healthcare models that differ from traditional approaches or home practices. In contrast, others need to have the appropriate educational background in Information and Communication Technologies to make effective use of telemedicine approaches. The need for studies documenting telemedicine applications’ economic benefits and cost-effectiveness is also a challenge. Strong business acumen to persuade policymakers to embrace and invest in telemedicine has contributed to a need for more infrastructure and program funding. Legal issues are also significant obstacles to the adoption of telemedicine. These include the need for an international legal framework that allows health professionals to provide services in different jurisdictions and countries. Furthermore, the lack of policies governing data confidentiality, authentication and the risk of medical liability for health professionals providing telemedicine services. In any case, the technological challenges are related to legal issues. In addition, the systems used are complex, and there is a possibility of malfunction, which could cause software or hardware failure. The result is an increase in patient morbidity or mortality as well as the liability of healthcare providers.

According to Stanberry B., to overcome these challenges, telemedicine must be regulated by definitive and comprehensive guidelines, which are ideally and widely applied worldwide. At the same time, legislation must be enacted governing health confidentiality, data access, and providers’ responsibility.

5.4. Security of eHealth

The possibility of the patients looking at the electronic patient folder in a cloud environment, through mobile devices anytime and anywhere, is significant. On the one hand, the advantages of cloud computing are essential, and on the other hand, a security mechanism is critical to ensure the confidentiality of this environment. Five methods are used to protect data in such environments: (1) users must encrypt the information before storing it; (2) users must transmit information through secure channels; (3) the user ID must be verified before accessing data; (4) the information is divided into small portions for handling and storage, retrieved when necessary; (5) digital signatures are added to verify that a suitable person has created the file to which a user has access. On the other hand, users of these environments will implement self-encryption to protect data and reduce over-reliance on providers.

At the same time, Maliha S. et al. proposed the blockchain to preserve sensitive medical information. This technology ensures data integrity by maintaining a trace of control over each transaction. At the same time, zero trusts provide that medical data is encrypted and that only certified users and devices interact with the network. In this way, this model solves many vulnerabilities related to data security. Another alternative approach is the KONFIDO project, which aims at the safe cross-border exchange of health data. A European H2020 project aims to address security issues through a holistic example at the system level. The project combines various cutting-edge technologies in its toolbox (such as blockchain, photonic Physical Unclonable Functions, homomorphic encryption, and trusted execution). Finally, Coppolino L. et al. proposed using a SIEM framework for an e-healthcare portal developed under the Italian National eHealth Net Program. This framework allows real-time monitoring of access to the portal to identify potential threats and anomalies that could cause significant security issues.

5.5. Education Impact of E-Health

But all this would only be feasible with the necessary education of both users and patients. As the volume and quality of evidence in medical education continue to expand, the need for evidence synthesis will increase. On the other hand, Brockers C. et al. argued that digitalisation changes jobs and significantly impacts medical work. The quality of medical data provided for support depends on telemedicine’s medical specialisation and knowledge. Adjustments to primary and further education are inevitable because physicians are well trained to support their patients satisfactorily and confidently in the increasingly complex digitalisation of healthcare. The ultimate goal of the educational community is the closest approach of students to the issues of telemedicine and e-health, the creation of a spirit of trust, and the acceptance and transmission of essential knowledge.

Noor also moved in this direction, seeking to discover the gaps in Saudi education for digital transformation in health. The growing complexity of healthcare systems worldwide and the growing reliance of the medical profession on information technology for precise practices and treatments require specific standardised training in Information Technology (IT) health planning. Accreditation of core Information Technology (IT) is advancing internationally. Noor A. examined the state of Information Technology health programmes in the Kingdom of Saudi Arabia (KSA) to determine (1) how well international standards are met and (2) what further development is required in the light of recent initiatives of the Kingdom of Saudi Arabia on e-health. Of the 109 institutions that participated in his research, only a few offered programmes specifically in Health Information Technology. As part of Saudi Vision 2030, Saudi digital transformation was deemed an urgent need. This initiative calls for applying internationally accepted Information Technology skills in education programmes and healthcare practices, which can only happen through greater collaboration between medical and technology educators and strategic partnerships with companies, medical centres and government agencies.

Another study by Diviani N. et al. adds to the knowledge of e-health education, demonstrating how online health information affects a person’s overall behaviour and enhances patients’ ability to understand, live and prepare for various health challenges. The increasing digitalisation of communication and healthcare requires further research into the digital divide and patients’ relationships with health professionals. Healthcare professionals must recognise the online information they seek and engage with patients to evaluate online health information and support joint healthcare-making.

6. Discussion

The selected studies comprise a conceptual model based on bibliographic research. Using an open-ended technique, we analyse the selected 287 articles, which are grouped into categories based on their context. This methodology provides readers with a good indication of issues concerning the timeliness of health digitalisation. A limitation of the methodology is that selected criteria of the method might be subjective in terms of the search terms and how the papers are selected. The articles indicate that this field is initial, and further research is needed. Although several articles have created a theoretical basis for corporate sustainability and strategic digital management, only limited studies provided guidelines on the strategic digital transformation process and its health implementation stages. However, studies have also developed sustainable models, software or applications in this area. This is also the reason for creating opportunities for future researchers, who will be closed to investigate this gap and improve the viability of digital health strategies. In addition, any work carried out in case studies provides fruitful results by facilitating researchers through deep penetration into sustainable digitalisation. No generalised frameworks are available to guide the wording and implementation of digital action plans. Thus, the need for quantitative or qualitative research is created, providing conclusions on the impact of internal or external factors in the sustainability process, implementation, adoption, planning, and challenges of digital health solutions in general, as well as the impact of digital transformation. Most existing studies explore the issue of digitalisation in a particular part of a nursing institution or a disease rather than the management strategy perspective. In this way, researchers ignore a debate on obstacles and problems that often face in practice during integration. Such an analysis could lead to more profound knowledge.

7. Conclusions

In conclusion, our research observed a timeless analysis of systematised studies focusing on digital health developments. These studies broaden the researchers’ vision and provide vital information for further investigation. This article focuses on understanding digitalisation in healthcare, including, for the most part, the digitalisation of information and adopting appropriate parameters for further development. To build a more holistic view of digital health transformation, there is a great need for research on the management implications of digitalisation by different stakeholders. Finally, the development of telemedicine, the further enhancement of digital security and the strengthening of technological information systems will contribute to the universal acceptance of the digital health transformation by all involved.

References 318

  1. 1.

    Iyawa G.E., Herselman M., Botha A. Digital health innovation ecosystems: From systematic literature review to conceptual framework. Procedia Comput. Sci. 2016;100:244-252.

    Not in our library10.1016/j.procs.2016.09.149

  2. 2.

    Gjellebæk C., Svensson A., Bjørkquist C., Fladeby N., Grundén K. Management challenges for future digitalization of healthcare services. Futures. 2020;124:102636.

    Not in our library10.1016/j.futures.2020.102636

  3. 3.

    Eden R., Burton-Jones A., Scott I., Staib A., Sullivan C. Effects of eHealth on hospital practice: Synthesis of the current literature. Aust. Health Rev. 2018;42:568-578.

    Not in our library10.1071/ah17255

  4. 4.

    Eden R., Burton-Jones A., Grant J., Collins R., Staib A., Sullivan C. Digitising an Australian university hospital: Qualitative analysis of staff-reported impacts. Aust. Health Rev. 2019;44:677-689.

    Not in our library10.1071/ah18218

  5. 5.

    Agarwal R., Gao G., DesRoches C., Jha A.K. Research commentary—The digital transformation of healthcare: Current status and the road ahead. Inf. Syst. Res. 2010;21:796-809.

    Not in our library10.1287/isre.1100.0327

  6. 6.

    Gopal G., Suter-Crazzolara C., Toldo L., Eberhardt W. Digital transformation in healthcare—Architectures of present and future information technologies. Clin. Chem. Lab. Med. CCLM. 2019;57:328-335.

    Not in our library10.1515/cclm-2018-0658

  7. 7.

    Webster J., Watson R.T. Analyzing the past to prepare for the future: Writing a literature review. MIS Q. 2002;5:xiii-xxiii.

    Not in our library

  8. 8.

    Marques I.C., Ferreira J.J. Digital transformation in the area of health: Systematic review of 45 years of evolution. Health Technol. 2020;10:575-586.

    Not in our library10.1007/s12553-019-00402-8

  9. 9.

    Kraus S., Schiavone F., Pluzhnikova A., Invernizzi A.C. Digital transformation in healthcare: Analyzing the current state-of-research. J. Bus. Res. 2021;123:557-567.

    Not in our library10.1016/j.jbusres.2020.10.030

  10. 10.

    Kolasa K., Kozinski G. How to Value Digital Health Interventions? A Systematic Literature Review. Int. J. Environ. Res. Public Health. 2020;17:2119.

    Not in our library10.3390/ijerph17062119

  11. 11.

    Hosseinzadeh M., Ahmed O.H., Ehsani A., Ahmed A.M., Hama H.K., Vo B. The impact of knowledge on e-health: A systematic literature review of the advanced systems. Kybernetes. 2021;50:1506-1520.

    Not in our library10.1108/k-12-2019-0803

  12. 12.

    Nazir S., Ali Y., Ullah N., García-Magariño I. Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review. Wirel. Commun. Mob. Comput. 2019;2019:5931315.

    Not in our library10.1155/2019/5931315

  13. 13.

    Sanyal C., Stolee P., Juzwishin D., Husereau D. Economic evaluations of eHealth technologies: A systematic review. PLoS ONE. 2018;13:e0198112.

    Not in our library10.1371/journal.pone.0198112

  14. 14.
  15. 15.

    Gagnon M.-P., Ngangue P., Payne-Gagnon J., Desmartis M. m-Health adoption by healthcare professionals: A systematic review. J. Am. Med. Inform. Assoc. 2016;23:212-220.

    Not in our library10.1093/jamia/ocv052

  16. 16.

    Wilson L., Kim A., Szeto D. The Evidence for the Economic Value of Ehealth in the United States Today: A Systematic Review. J. Int. Soc. Telemed. eHealth. 2016;4:e21.

    Not in our library

  17. 17.

    Hu Y., Bai G. A Systematic Literature Review of Cloud Computing in Ehealth. Health Inform. Int. J. 2014;3:11-20.

    Not in our library10.5121/hiij.2014.3402

  18. 18.
  19. 19.

    Pagliari C., Sloan D., Gregor P., Sullivan F., Detmer D., Kahan J.P., Oortwijn W., MacGillivray S. What Is eHealth (4): A Scoping Exercise to Map the Field. J. Med. Internet Res. 2005;7:e9.

    Not in our library10.2196/jmir.7.1.e9

  20. 20.

    Kesavadev J., Krishnan G., Mohan V. Digital health and diabetes: Experience from India. Ther. Adv. Endocrinol. Metab. 2021;12:20420188211054676.

    Not in our library10.1177/20420188211054676

  21. 21.

    Attila S.Z., Miklos S., Tamas P., Viktoria S., Tamas J. Global and national overview of the digital health ecosystem. Inf. Tarsad. 2021;21:47-66.

    Not in our library10.22503/inftars.xxi.2021.3.3

  22. 22.

    Malachynska M., Sheiko V., Polesova T., Samoylenko I. Management of Healthcare Institutions in the Context of Changes and Reforms. AD ALTA-J. Interdiscip. Res. 2021;11:137-142.

    Not in our library

  23. 23.

    Lu W.-C., Tsai I.C., Wang K.-C., Tang T.-A., Li K.-C., Ke Y.-C., Chen P.-T. Innovation Resistance and Resource Allocation Strategy of Medical Information Digitalization. Sustainability. 2021;13:7888.

    Not in our library10.3390/su13147888

  24. 24.

    Burmann A., Tischler M., Faßbach M., Schneitler S., Meister S. The Role of Physicians in Digitalizing Health Care Provision: Web-Based Survey Study. JMIR Med. Inform. 2021;9:e31527.

    Not in our library10.2196/31527

  25. 25.

    Bogumil-Uçan S., Klenk T. Varieties of health care digitalization: Comparing advocacy coalitions in Austria and Germany. Rev. Policy Res. 2021;38:478-503.

    Not in our library10.1111/ropr.12435

  26. 26.

    Zanutto O. Digital transformation of care for older people. Int. J. Care Caring. 2021;5:535-541.

    Not in our library10.1332/239788221x16236845574818

  27. 27.

    Alauddin M.S., Baharuddin A.S., Mohd Ghazali M.I. The Modern and Digital Transformation of Oral Health Care: A Mini Review. Healthcare. 2021;9:118.

    Not in our library10.3390/healthcare9020118

  28. 28.

    Alterazi H.A. Towards Reaping the Promotions of Big Data in Healthcare Services. Int. Trans. J. Eng. Manag. Appl. Sci. Technol. 2021;12.

    Not in our library10.14456/itjemast.2021.91

  29. 29.

    Schmidt-Kaehler S., Dadaczynski K., Gille S., Okan O., Schellinger A., Weigand M., Schaeffer D. Health Literacy: Germany in the Digital Race to Catch Up Introduction of Technological Innovations is not Sufficient. Gesundheitswesen Bundesverb. Arzte Offentlichen Gesundheitsdienstes Ger. 2021;83:327-332.

    Not in our library10.1055/a-1451-7587

  30. 30.

    Zhao Y., Canales J.I. Never the twain shall meet? Knowledge strategies for digitalization in healthcare. Technol. Forecast. Soc. Chang. 2021;170:120923.

    Not in our library10.1016/j.techfore.2021.120923

  31. 31.

    Roth C.B., Papassotiropoulos A., Brühl A.B., Lang U.E., Huber C.G. Psychiatry in the Digital Age: A Blessing or a Curse? Int. J. Environ. Res. Public Health. 2021;18:8302.

    Not in our library10.3390/ijerph18168302

  32. 32.

    Ali N.A., NawazTahir H., Jabeen R. Digitalisation provisions for controlling depression in developing countries: Short review. J. Pak. Med. Assoc. 2021;71:127-129.

    Not in our library10.47391/jpma.05-614

  33. 33.
  34. 34.

    Dick H., Doth S., Ernst C., Fischer S., Holderried M. Current developments on digitalization Analysis of quality and economics in healthcare. Urologe. 2021;60:1141-1149.

    Not in our library10.1007/s00120-021-01606-5

  35. 35.

    Alt R., Zimmermann H.-D. The digital transformation of healthcare–An interview with Werner Dorfmeister. Electron. Mark. 2021;31:895-899.

    Not in our library10.1007/s12525-021-00476-1

  36. 36.

    Bartosiewicz A., Burzyńska J., Januszewicz P. Polish Nurses’ Attitude to e-Health Solutions and Self-Assessment of Their IT Competence. J. Clin. Med. 2021;10:4799.

    Not in our library10.3390/jcm10204799

  37. 37.
  38. 38.

    Naumann L., Babitsch B., Hübner U.H. eHealth policy processes from the stakeholders’ viewpoint: A qualitative comparison between Austria, Switzerland and Germany. Health Policy Technol. 2021;10:100505.

    Not in our library10.1016/j.hlpt.2021.100505

  39. 39.

    Saetra H.S., Fosch-Villaronga E. Healthcare Digitalisation and the Changing Nature of Work and Society. Healthcare. 2021;9:1007.

    Not in our library10.3390/healthcare9081007

  40. 40.

    Zoltan V., Borbala V., Tamas P., Judit L. Smart & Safe—Digitalisation strategy from a patient safety perspective. Orv. Hetil. 2021;162:1876-1884.

    Not in our library10.1556/650.2021.32289

  41. 41.

    Hoch P., Arets J. Video Consultation as a Model for the Acceptance of Digital Services in the Healthcare Sector. Beweg. Gesundh. 2021;37:151-156.

    Not in our library10.1055/a-1528-3793

  42. 42.

    De Vos J. A critique of digital mental health via assessing the psychodigitalisation of the COVID-19 crisis. Psychother. Polit. Int. 2021;19.

    Not in our library10.1002/ppi.1582

  43. 43.

    Beaulieu M., Bentahar O. Digitalization of the healthcare supply chain: A roadmap to generate benefits and effectively support healthcare delivery. Technol. Forecast. Soc. Chang. 2021;167:120717.

    Not in our library10.1016/j.techfore.2021.120717

  44. 44.
  45. 45.

    Gauthier P., Cardot J.-M. Health care digitalization, the straightest pathway to personalization. Farmacia. 2021;69:238-245.

    Not in our library10.31925/farmacia.2021.2.7

  46. 46.

    Zhang J., Qi L. Crisis Preparedness of Healthcare Manufacturing Firms during the COVID-19 Outbreak: Digitalization and Servitization. Int J Environ. Res Public Health. 2021;18:5456.

    Not in our library10.3390/ijerph18105456

  47. 47.

    Mallmann C.A., Domroese C.M., Schroeder L., Engelhardt D., Bach F., Rueckel H., Abramian A., Kaiser C., Mustea A., Faridi A., et al. Digital Technical and Informal Resources of Breast Cancer Patients from 2012 to 2020: Questionnaire-Based Longitudinal Trend Study. JMIR Cancer. 2021;7.

    Not in our library10.2196/20964

  48. 48.

    Quiros Fons A. Limitations on conscientious objection in the area of healthcare in europe. Rev. Gen. Derecho Canonico Derecho Ecles. Estado. 2021.

    Not in our library

  49. 49.

    Kulkarni P., Chatterjee S. Healthcare consumer behaviour: The impact of digital transformation of healthcare on consumer. Cardiometry. 2021;135-144.

    Not in our library10.18137/cardiometry.2021.20.134143

  50. 50.

    Wasmann J.-W.A., Lanting C.P., Huinck W.J., Mylanus E.A.M., van der Laak J.W.M., Govaerts P.J., Swanepoel D.W., Moore D.R., Barbour D.L. Computational Audiology: New Approaches to Advance Hearing Health Care in the Digital Age. Ear Hear. 2021;42:1499.

    Not in our library10.1097/aud.0000000000001041

  51. 51.

    Kanungo R.P., Gupta S. Financial inclusion through digitalisation of services for well-being. Technol. Forecast. Soc. Change. 2021;167:120721.

    Not in our library10.1016/j.techfore.2021.120721

  52. 52.

    Fernandez-Luque L., Al Herbish A., Al Shammari R., Argente J., Bin-Abbas B., Deeb A., Dixon D., Zary N., Koledova E., Savage M.O. Digital Health for Supporting Precision Medicine in Pediatric Endocrine Disorders: Opportunities for Improved Patient Care. Front. Pediatr. 2021;9:715705.

    Not in our library10.3389/fped.2021.715705

  53. 53.

    Wilson A., Saeed H., Pringle C., Eleftheriou I., Bromiley P.A., Brass A. Artificial intelligence projects in healthcare: 10 practical tips for success in a clinical environment. BMJ Health CARE Inform. 2021;28.

    Not in our library10.1136/bmjhci-2021-100323

  54. 54.

    Ziadlou D. Strategies during digital transformation to make progress in achievement of sustainable development by 2030. Leadersh. Health Serv. 2021;34:375-391.

    Not in our library10.1108/lhs-08-2020-0056

  55. 55.
  56. 56.

    Knitza J., Krusche M., Leipe J. Digital diagnostic support in rheumatology. Z. Rheumatol. 2021;80:909-913.

    Not in our library10.1007/s00393-021-01097-x

  57. 57.

    Sergi D., Ucal Sari I. Prioritization of public services for digitalization using fuzzy Z-AHP and fuzzy Z-WASPAS. Complex Intell. Syst. 2021;7:841-856.

    Not in our library10.1007/s40747-020-00239-z

  58. 58.

    Rosalia R.A., Wahba K., Milevska-Kostova N. How digital transformation can help achieve value-based healthcare: Balkans as a case in point. Lancet Reg. Health Eur. 2021;4:100100.

    Not in our library10.1016/j.lanepe.2021.100100

  59. 59.

    New Study Smart Financing unlocks Billions in Funds for the digital Transformation of the Healthcare System. Gesundh. Qual. 2021;26:66-67.

    Not in our library10.1055/a-1386-8828

  60. 60.

    Prisyazhnaya N.V., Pavlov S.V. Sociohumanitarian knowledge and digitalization of medical education and healthcare. Sotsiologicheskie Issled. 2021;1:146-148.

    Not in our library10.31857/5013216250012266-5

  61. 61.

    Odone A., Gianfredi V., Sorbello S., Capraro M., Frascella B., Vigezzi G.P., Signorelli C. The Use of Digital Technologies to Support Vaccination Programmes in Europe: State of the Art and Best Practices from Experts’ Interviews. Vaccines. 2021;9:1126.

    Not in our library10.3390/vaccines9101126

  62. 62.

    Balta M., Valsecchi R., Papadopoulos T., Bourne D.J. Digitalization and co-creation of healthcare value: A case study in Occupational Health. Technol. Forecast. Soc. Change. 2021;168:120785.

    Not in our library10.1016/j.techfore.2021.120785

  63. 63.

    Mues S., Surges R. Telemedicine and mobile Healthcare Technologies Digitalization in Epilepsy Care—Needs and Challenges. Z. Epileptol. 2021;34:251-252.

    Not in our library10.1007/s10309-021-00431-2

  64. 64.

    Frick N.R.J., Möllmann H.L., Mirbabaie M., Stieglitz S. Driving Digital Transformation during a Pandemic: Case Study of Virtual Collaboration in a German Hospital. JMIR Med. Inform. 2021;9:e25183.

    Not in our library10.2196/25183

  65. 65.

    Dendere R., Janda M., Sullivan C. Are we doing it right? We need to evaluate the current approaches for implementation of digital health systems. Aust. Health Rev. 2021;45:778-781.

    Not in our library10.1071/ah20289

  66. 66.

    Neumann M., Fehring L., Kinscher K., Truebel H., Dahlhausen F., Ehlers J.P., Mondritzki T., Boehme P. Perspective of German medical faculties on digitization in the healthcare sector and its influence on the curriculum. GMS J. Med. Educ. 2021;38.

    Not in our library10.3205/zma001520

  67. 67.

    Su Y., Hou F., Qi M., Li W., Ji Y. A Data-Enabled Business Model for a Smart Healthcare Information Service Platform in the Era of Digital Transformation. J. Healthc. Eng. 2021;2021:5519891.

    Not in our library10.1155/2021/5519891

  68. 68.

    Masuda Y., Zimmermann A., Viswanathan M., Bass M., Nakamura O., Yamamoto S. Adaptive enterprise architecture for the digital healthcare industry: A digital platform for drug development. Information. 2021;12:67.

    Not in our library10.3390/info12020067

  69. 69.

    Frennert S. Gender blindness: On health and welfare technology, AI and gender equality in community care. Nurs. Inq. 2021;28:e12419.

    Not in our library10.1111/nin.12419

  70. 70.

    Hasselgren A., Hanssen Rensaa J.-A., Kralevska K., Gligoroski D., Faxvaag A. Blockchain for Increased Trust in Virtual Health Care: Proof-of-Concept Study. J. Med. Internet Res. 2021;23:e28496.

    Not in our library10.2196/28496

  71. 71.

    Kim H.K., Lee C.W. Relationships among Healthcare Digitalization, Social Capital, and Supply Chain Performance in the Healthcare Manufacturing Industry. Int. J. Environ. Res. Public Health. 2021;18:1417.

    Not in our library10.3390/ijerph18041417

  72. 72.

    Marchant G., Bonaiuto F., Bonaiuto M., Guillet Descas E. Exercise and Physical Activity eHealth in COVID-19 Pandemic: A Cross-Sectional Study of Effects on Motivations, Behavior Change Mechanisms, and Behavior. Front. Psychol. 2021;12:618362.

    Not in our library10.3389/fpsyg.2021.618362

  73. 73.

    Malfatti G., Racano E., Delle Site R., Gios L., Micocci S., Dianti M., Molini P.B., Allegrini F., Ravagni M., Moz M. Enabling teleophthalmology during the COVID-19 pandemic in the Province of Trento, Italy: Design and implementation of a mHealth solution. PLoS ONE. 2021;16:e0257250.

    Not in our library10.1371/journal.pone.0257250

  74. 74.

    Krasuska M., Williams R., Sheikh A., Franklin B., Hinder S., TheNguyen H., Lane W., Mozaffar H., Mason K., Eason S., et al. Driving digital health transformation in hospitals: A formative qualitative evaluation of the English Global Digital Exemplar programme. BMJ Health CARE Inform. 2021;28.

    Not in our library10.1136/bmjhci-2021-100429

  75. 75.

    Piccialli F., Giampaolo F., Prezioso E., Camacho D., Acampora G. Artificial intelligence and healthcare: Forecasting of medical bookings through multi-source time-series fusion. Inf. Fusion. 2021;74:1-16.

    Not in our library10.1016/j.inffus.2021.03.004

  76. 76.

    Kyllingstad N., Rypestøl J.O., Schulze-Krogh A.C., Tønnessen M. Asset modification for regional industrial restructuring: Digitalization of the culture and experience industry and the healthcare sector. Reg. Stud. 2021;55:1764-1774.

    Not in our library10.1080/00343404.2021.1878126

  77. 77.

    Frasquilho D., Matias R., Grácio J., Sousa B., Luís-Ferreira F., Leal J., Cardoso F., Oliveira-Maia A.J. Protocol for the Implementation and Assessment of “MoodUP”: A Stepped Care Model Assisted by a Digital Platform to Accelerate Access to Mental Health Care for Cancer Patients Amid the COVID-19 Pandemic. Int. J. Environ. Res. Public Health. 2021;18:4629.

    Not in our library10.3390/ijerph18094629

  78. 78.

    Leone D., Schiavone F., Appio F.P., Chiao B. How does artificial intelligence enable and enhance value co-creation in industrial markets? An exploratory case study in the healthcare ecosystem. J. Bus. Res. 2021;129:849-859.

    Not in our library10.1016/j.jbusres.2020.11.008

  79. 79.

    Kwon I.-W.G., Kim S.-H., Martin D. Integrating Social Determinants of Health to Precision Medicine through Digital Transformation: An Exploratory Roadmap. Int. J. Environ. Res. Public Health. 2021;18:5018.

    Not in our library10.3390/ijerph18095018

  80. 80.

    Sim S.S., Yip M.Y.T., Wang Z., Tan A.C.S., Tan G.S.W., Cheung C.M.G., Chakravarthy U., Wong T.Y., Teo K.Y.C., Ting D.S.W. Digital Technology for AMD Management in the Post-COVID-19 New Normal. Asia-Pac. J. Ophthalmol. 2021;10:39-48.

    Not in our library10.1097/apo.0000000000000363

  81. 81.

    Christie H.L., Boots L.M.M., Hermans I., Govers M., Tange H.J., Verhey F.R.J., de Vugt M. Business Models of eHealth Interventions to Support Informal Caregivers of People With Dementia in the Netherlands: Analysis of Case Studies. JMIR Aging. 2021;4:e24724.

    Not in our library10.2196/24724

  82. 82.

    Eberle C., Löhnert M., Stichling S. Effectiveness of Disease-Specific mHealth Apps in Patients With Diabetes Mellitus: Scoping Review. JMIR Mhealth Uhealth. 2021;9:e23477.

    Not in our library10.2196/23477

  83. 83.

    Popkova E.G., Giyazov A. Industrial and Manufacturing Engineering in Fight against the Virus Threat: Perspectives of Increasing Quality Based on Digitalization and Industry 4.0. Int. J. Qual. Res. 2021;15:291-308.

    Not in our library10.24874/ijqr15.01-17

  84. 84.

    Reich C., Meder B. Digital health highlights 2020 Digitalization in the year of the pandemic. Kardiologe. 2021;15:153-159.

    Not in our library10.1007/s12181-021-00466-9

  85. 85.

    Hanrieder T., Maray E.M. Digitalizing Community Health Work: A Struggle over the Values of Global Health Policy. Hist. Soc. Res.-Hist. Soz. 2021;46:136-159.

    Not in our library10.12759/hsr.46.2021.1.136-159

  86. 86.

    Aleksashina A.A., Bezuglov S.V., Fomicheva L.M., Grigoriev A.V., Katlishin O.I., Barinov S. Innovations in the Management System of the Process of Taking Medicines by Patients Based on Digitalization. J. Pharm. Res. Int. 2021;33:216-222.

    Not in our library10.9734/jpri/2021/v33i58b34194

  87. 87.

    Haase C.B., Bearman M., Brodersen J., Hoeyer K., Risor T. ‘You should see a doctor’, said the robot: Reflections on a digital diagnostic device in a pandemic age. Scand. J. Public Health. 2021;49:33-36.

    Not in our library10.1177/1403494820980268

  88. 88.

    Mishra A., Gowrav M.P., Balamuralidhara V., Reddy K.S. Health in Digital World: A Regulatory Overview in United States. J. Pharm. Res. Int. 2021;33:438-450.

    Not in our library10.9734/jpri/2021/v33i43b32573

  89. 89.

    Kokshagina D.O. Managing shifts to value-based healthcare and value digitalization as a multi-level dynamic capability development process. Technol. Forecast. Soc. Change. 2021;172:121072.

    Not in our library10.1016/j.techfore.2021.121072

  90. 90.

    Loch T., Witzsch U., Reis G. Digital transformation in urology-opportunity, risk or necessity? Urologe. 2021;60:1125-1140.

    Not in our library10.1007/s00120-021-01610-9

  91. 91.

    Cajander Å., Hedström G., Leijon S., Larusdottir M. Professional decision making with digitalisation of patient contacts in a medical advice setting: A qualitative study of a pilot project with a chat programme in Sweden. BMJ Open. 2022;11:e054103.

    Not in our library10.1136/bmjopen-2021-054103

  92. 92.

    Botrugno C. Information and Communication Technologies in Healthcare: A New Geography of Right to Health. Riv. Filos. Dirit.-J. Leg. Philos. 2021;10:163-187.

    Not in our library10.4477/100643

  93. 93.
  94. 94.

    Behnke M., Valik J.K., Gubbels S., Teixeira D., Kristensen B., Abbas M., van Rooden S.M., Gastmeier P., van Mourik M.S.M., Network P. Information technology aspects of large-scale implementation of automated surveillance of healthcare-associated infections. Clin. Microbiol. Infect. 2021;27:S29-S39.

    Not in our library10.1016/j.cmi.2021.02.027

  95. 95.

    Peltoniemi T., Suomi R., Peura S., Lahteenoja M.N.Y. Electronic prescription as a driver for digitalization in Finnish pharmacies. BMC Health Serv. Res. 2021;21:1-9.

    Not in our library10.1186/s12913-021-07003-0

  96. 96.

    Glock H., Nymberg V.M., Bolmsjö B.B., Holm J., Calling S., Wolff M., Pikkemaat M. Attitudes, Barriers, and Concerns Regarding Telemedicine Among Swedish Primary Care Physicians: A Qualitative Study. Int. J. Gen. Med. 2021;14:9237.

    Not in our library10.2147/ijgm.s334782

  97. 97.

    Weitzel E.C., Quittschalle J., Welzel F.D., Loebner M., Hauth I., Riedel-Heller S.G. E-Mental Health and healthcare apps in Germany. Nervenarzt. 2021;92:1121-1129.

    Not in our library10.1007/s00115-021-01196-9

  98. 98.

    Sullivan C., Wong I., Adams E., Fahim M., Fraser J., Ranatunga G., Busato M., McNeil K. Moving Faster than the COVID-19 Pandemic: The Rapid, Digital Transformation of a Public Health System. Appl. Clin. Inform. 2021;12:229-236.

    Not in our library10.1055/s-0041-1725186

  99. 99.

    Luca M.M., Mustea L., Taran A., Stefea P., Vatavu S. Challenges on Radical Health Redesign to Reconfigure the Level of e-Health Adoption in EU Countries. Front. Public Health. 2021;9:728287.

    Not in our library10.3389/fpubh.2021.728287

  100. 100.

    Negro-Calduch E., Azzopardi-Muscat N., Krishnamurthy R.S., Novillo-Ortiz D. Technological progress in electronic health record system optimization: Systematic review of systematic literature reviews. Int. J. Med. Inf. 2021;152:104507.

    Not in our library10.1016/j.ijmedinf.2021.104507

  101. 101.

    Werutsky G., Barrios C.H., Cardona A.F., Albergaria A., Valencia A., Ferreira C.G., Rolfo C., de Azambuja E., Rabinovich G.A., Sposetti G., et al. Perspectives on emerging technologies, personalised medicine, and clinical research for cancer control in Latin America and the Caribbean. Lancet Oncol. 2021;22:E488-E500.

    Not in our library10.1016/s1470-2045(21)00523-4

  102. 102.

    Piasecki J., Walkiewicz-Zarek E., Figas-Skrzypulec J., Kordecka A., Dranseika V. Ethical issues in biomedical research using electronic health records: A systematic review. Med. Health Care Philos. 2021;24:633-658.

    Not in our library10.1007/s11019-021-10031-6

  103. 103.

    Broenneke J.B., Hagen J., Kircher P., Matthies H. Digitized healthcare in 2030-a possible scenario. Bundesgesundheitsblatt Gesundh. Gesundh. 2021;64:1285-1291.

    Not in our library10.1007/s00103-021-03416-8

  104. 104.

    Faure S., Napieralsk J., Cebelieu T. The connected pharmacy, from today to tomorrow. Actual. Pharm. 2021;60:34-35.

    Not in our library10.1016/j.actpha.2021.03.031

  105. 105.

    Ghaleb E.A.A., Dominic P.D.D., Fati S.M., Muneer A., Ali R.F. The Assessment of Big Data Adoption Readiness with a Technology–Organization–Environment Framework: A Perspective towards Healthcare Employees. Sustainability. 2021;13:8379.

    Not in our library10.3390/su13158379

  106. 106.

    Verket M., Ickrath M., Haizmann M., Geldhauser R., Vite S., Bitzer B., Mueller-Wieland D. Precision medicine using the electronic diabetes health record. Diabetologe. 2021;17:807-812.

    Not in our library10.1007/s11428-021-00826-9

  107. 107.

    Lenz S. “More like a support tool”: Ambivalences around digital health from medical developers’ perspective. Big Data Soc. 2021;8:2053951721996733.

    Not in our library10.1177/2053951721996733

  108. 108.
  109. 109.

    Gevko V., Vivchar O., Sharko V., Radchenko O., Budiaiev M., Tarasenko O. Cloud Technologies In Business Management. Financ. Credit Act.-Probl. Theory Pract. 2021;4:294-301.

    Not in our library10.18371/fcaptp.v4i39.241318

  110. 110.

    El Majdoubi D., El Bakkali H., Sadki S. SmartMedChain: A Blockchain-Based Privacy-Preserving Smart Healthcare Framework. J. Healthc. Eng. 2021;2021:4145512.

    Not in our library10.1155/2021/4145512

  111. 111.

    Thakur A., Soklaridis S., Crawford A., Mulsant B., Sockalingam S. Using Rapid Design Thinking to Overcome COVID-19 Challenges in Medical Education. Acad. Med. 2021;96.

    Not in our library10.1097/acm.0000000000003718

  112. 112.
  113. 113.

    Zippel-Schultz B., Palant A., Eurlings C., Ski F.C., Hill L., Thompson D.R., Fitzsimons D., Dixon L.J., Brandts J., Schuett K.A., et al. Determinants of acceptance of patients with heart failure and their informal caregivers regarding an interactive decision-making system: A qualitative study. BMJ Open. 2021;11:e046160.

    Not in our library10.1136/bmjopen-2020-046160

  114. 114.

    Lam K., Purkayastha S., Kinross J.M. The Ethical Digital Surgeon. J. Med. Internet Res. 2021;23:e25849.

    Not in our library10.2196/25849

  115. 115.

    Manzeschke A. Digitalization and organizational ethics. Scenarios from an ethical and philosophy of technology point of view. Ethik Med. 2021;33:219-232.

    Not in our library10.1007/s00481-021-00630-5

  116. 116.

    Dyda A., Fahim M., Fraser J., Kirrane M., Wong I., McNeil K. Managing the Digital Disruption Associated with COVID-19-Driven Rapid Digital Transformation in Brisbane, Australia. Appl. Clin. Inform. 2021;12:1135-1143.

    Not in our library10.1055/s-0041-1740190

  117. 117.

    Beckmann M., Dittmer K., Jaschke J., Karbach U., Köberlein-Neu J., Nocon M., Rusniok C., Wurster F., Pfaff H. Electronic patient record and its effects on social aspects of interprofessional collaboration and clinical workflows in hospitals (eCoCo): A mixed methods study protocol. BMC Health Serv. Res. 2021;21:377.

    Not in our library10.1186/s12913-021-06377-5

  118. 118.

    Numair T., Harrell D.T., Huy N.T., Nishimoto F., Muthiani Y., Nzou S.M., Lasaphonh A., Palama K., Pongvongsa T., Moji K., et al. Barriers to the Digitization of Health Information: A Qualitative and Quantitative Study in Kenya and Lao PDR Using a Cloud-Based Maternal and Child Registration System. Int. J. Environ. Res. Public Health. 2021;18:6196.

    Not in our library10.3390/ijerph18126196

  119. 119.

    Xiroudaki S., Schoubben A., Giovagnoli S., Rekkas D.M. Dry Powder Inhalers in the Digitalization Era: Current Status and Future Perspectives. Pharmaceutics. 2021;13:1455.

    Not in our library10.3390/pharmaceutics13091455

  120. 120.

    Droste W., Wieczorek M. Advance of digitalization for specialized care? Working conditions of the care experts in ostomy, continence and wounds during the SARS-CoV-2 pandemic. Coloproctology. 2021;43:223-228.

    Not in our library10.1007/s00053-021-00537-1

  121. 121.

    Lee J.Y., Irisboev I.O., Ryu Y.-S. Literature Review on Digitalization in Facilities Management and Facilities Management Performance Measurement: Contribution of Industry 4.0 in the Global Era. Sustainability. 2021;13:3432.

    Not in our library10.3390/su132313432

  122. 122.

    Giovagnoli M.R., Ciucciarelli S., Castrichella L., Giansanti D. Artificial Intelligence in Digital Pathology: What Is the Future? Part 2: An Investigation on the Insiders. Healthcare. 2021;9:1347.

    Not in our library10.3390/healthcare9101347

  123. 123.

    Daguenet E., Magne N. Use of telehealth services in the oncology setting: Daily routine and during sanitary crisis. Bull. Cancer. 2021;108:627-634.

    Not in our library10.1016/j.bulcan.2021.01.017

  124. 124.

    Hubmann M., Paetzmann-Sietas B., Morbach H. Telemedicine and digital files-Where do we stand? Opportunities and challenges by the implementation into clinical and practice routines. Monatsschr. Kinderheilkd. 2021;169:711-716.

    Not in our library10.1007/s00112-021-01241-6

  125. 125.

    Vikhrov I., Abdurakhimov Z., Ashirbaev S. The Use of Big Data in Healthcare: Lessons for Developing Countries from Uzbekistan. Health Probl. Civiliz. 2021;15:142-151.

    Not in our library10.5114/hpc.2021.106173

  126. 126.

    Jahn H.K., Jahn I.H.J., Behringer W., Lyttle M.D., Roland D., On behalf of Paediatric Emergency Research United Kingdom and Ireland (PERUKI). Ireland A survey of mHealth use from a physician perspective in paediatric emergency care in the UK and Ireland. Eur. J. Pediatr. 2021;180:2409-2418.

    Not in our library10.1007/s00431-021-04023-0

  127. 127.

    Low S.T.H., Sakhardande P.G., Lai Y.F., Long A.D.S., Kaur-Gill S. Attitudes and Perceptions toward Healthcare Technology Adoption among Older Adults in Singapore: A Qualitative Study. Front. Public Health. 2021;9:588590.

    Not in our library10.3389/fpubh.2021.588590

  128. 128.

    Levasluoto J., Kohl J., Sigfrids A., Pihlajamaki J., Martikainen J. Digitalization as an Engine for Change? Building a Vision Pathway towards a Sustainable Health Care System by Using the MLP and Health Economic Decision Modelling. Sustainability. 2021;13:3007.

    Not in our library10.3390/su132313007

  129. 129.

    Verma A., Agarwal G., Gupta A.K., Sain M. Novel Hybrid Intelligent Secure Cloud Internet of Things Based Disease Prediction and Diagnosis. Electronics. 2021;10:3013.

    Not in our library10.3390/electronics10233013

  130. 130.

    Leung P.P.L., Wu C.H., Kwong C.K., Ip W.H., Ching W.K. Digitalisation for optimising nursing staff demand modelling and scheduling in nursing homes. Technol. Forecast. Soc. Change. 2021;164:120512.

    Not in our library10.1016/j.techfore.2020.120512

  131. 131.

    Weber S., Heitmann K.U. Interoperability in healthcare: Also prescribed for digital health applications (DiGA). Bundesgesundheitsblatt Gesundh. Gesundh. 2021;64:1262-1268.

    Not in our library10.1007/s00103-021-03414-w

  132. 132.

    Hogervorst S., Adriaanse M., Brandt H., Vervloet M., van Dijk L., Hugtenburg J. Feasibility study of a digitalized nurse practitioner-led intervention to improve medication adherence in type 2 diabetes patients in Dutch primary care. Pilot Feasibility Stud. 2021;7:152.

    Not in our library10.1186/s40814-021-00892-2

  133. 133.

    Khan I.H., Javaid M. Big Data Applications in Medical Field: A Literature Review. J. Ind. Integr. Manag. 2021;06:53-69.

    Not in our library10.1142/s242486222030001x

  134. 134.

    Cherif E., Bezaz N., Mzoughi M. Do personal health concerns and trust in healthcare providers mitigate privacy concerns? Effects on patients’ intention to share personal health data on electronic health records. Soc. Sci. Med. 2021;283:114146.

    Not in our library10.1016/j.socscimed.2021.114146

  135. 135.

    Bingham G., Tong E., Poole S., Ross P., Dooley M. A longitudinal time and motion study quantifying how implementation of an electronic medical record influences hospital nurses’ care delivery. Int. J. Med. Inf. 2021;153:104537.

    Not in our library10.1016/j.ijmedinf.2021.104537

  136. 136.

    Broich K., Lobker W., Lauer W. Digitization of the healthcare system: The BfArM’s contribution to the development of potential. Bundesgesundheitsblatt Gesundh. Gesundh. 2021;64:1292-1297.

    Not in our library10.1007/s00103-021-03417-7

  137. 137.

    Klemme I., Richter B., De Sabbata K., Wrede B., Vollmer A.L. A Multi-Directional and Agile Academic Knowledge Transfer Strategy for Healthcare Technology. Front Robot AI. 2021;8:789827.

    Not in our library10.3389/frobt.2021.789827

  138. 138.

    Dillenseger A., Weidemann M.L., Trentzsch K., Inojosa H., Haase R., Schriefer D., Voigt I., Scholz M., Akgün K., Ziemssen T. Digital Biomarkers in Multiple Sclerosis. Brain Sci. 2021;11:1519.

    Not in our library10.3390/brainsci11111519

  139. 139.

    Wangler J., Jansky M. The national health portal: Development opportunities and potential uses with special consideration of the general practitioner’s perspective. Bundesgesundheitsblatt Gesundh. Gesundh. 2021;64:360-367.

    Not in our library10.1007/s00103-021-03288-y

  140. 140.

    Kuhn S., Huettl F., Deutsch K., Kirchgaessner E., Huber T., Kneist W. Surgical Education in the Digital Age—Virtual Reality, Augmented Reality and Robotics in the Medical School. Zentralbl. Chir. 2021;146:37-43.

    Not in our library10.1055/a-1265-7259

  141. 141.

    Aldekhyyel R.N., Almulhem J.A., Binkheder S. Usability of Telemedicine Mobile Applications during COVID-19 in Saudi Arabia: A Heuristic Evaluation of Patient User Interfaces. Healthcare. 2021;9:1574.

    Not in our library10.3390/healthcare9111574

  142. 142.

    Christlein D., Kast J., Baumhauer M. Current developments in healthcare information technology Impact on structured reporting. Radiologe. 2021;61:986-994.

    Not in our library10.1007/s00117-021-00924-1

  143. 143.

    Bergier H., Duron L., Sordet C., Kawka L., Schlencker A., Chasset F., Arnaud L. Digital health, big data and smart technologies for the care of patients with systemic autoimmune diseases: Where do we stand? Autoimmun. Rev. 2021;20:102864.

    Not in our library10.1016/j.autrev.2021.102864

  144. 144.

    Sitges-Maciá E., Bonete-López B., Sánchez-Cabaco A., Oltra-Cucarella J. Effects of e-Health Training and Social Support Interventions for Informal Caregivers of People with Dementia—A Narrative Review. Int. J. Environ. Res. Public Health. 2021;18:7728.

    Not in our library10.3390/ijerph18157728

  145. 145.

    Rani R., Kumar R., Mishra R., Sharma S.K. Digital health: A panacea in COVID-19 crisis. J. Fam. Med. Prim. CARE. 2021;10:62-65.

    Not in our library10.4103/jfmpc.jfmpc_1494_20

  146. 146.

    Fredriksen E., Thygesen E., Moe C.E., Martinez S. Digitalisation of municipal healthcare collaboration with volunteers: A case study applying normalization process theory. BMC Health Serv. Res. 2021;21:410.

    Not in our library10.1186/s12913-021-06429-w

  147. 147.

    Caixeta M.C.B.F., Fabricio M.M. Physical-digital model for co-design in healthcare buildings. J. Build. Eng. 2021;34:101900.

    Not in our library10.1016/j.jobe.2020.101900

  148. 148.

    Gupta M., Soeny K. Algorithms for rapid digitalization of prescriptions. Vis. Inform. 2021;5:54-69.

    Not in our library10.1016/j.visinf.2021.07.002

  149. 149.

    Dobson R., Whittaker R., Wihongi H., Andrew P., Armstrong D., Bartholomew K., Sporle A., Wells S. Patient perspectives on the use of health information. N. Z. Med. J. 2021;134:48-62.

    Not in our library

  150. 150.

    Choi K., Gitelman Y., Leri D., Deleener M.E., Hahn L., O’Malley C., Lang E., Patel N., Jones T., Emperado K., et al. Insourcing and scaling a telemedicine solution in under 2 weeks: Lessons for the digital transformation of health care. Healthc. J. Deliv. Sci. Innov. 2021;9:100568.

    Not in our library10.1016/j.hjdsi.2021.100568

  151. 151.

    Müller-Wirtz L.M., Volk T. Big Data in Studying Acute Pain and Regional Anesthesia. J. Clin. Med. 2021;10:1425.

    Not in our library10.3390/jcm10071425

  152. 152.

    Sembekov A., Tazhbayev N., Ulakov N., Tatiyeva G., Budeshov Y. Digital modernization of Kazakhstan’s economy in the context of global trends. Econ. Ann.-XXI. 2021;187:51-62.

    Not in our library10.21003/ea.v187-05

  153. 153.
  154. 154.

    Paul K.T., Janny A., Riesinger K. Austria’s Digital Vaccination Registry: Stakeholder Views and Implications for Governance. Vaccines. 2021;9:1495.

    Not in our library10.3390/vaccines9121495

  155. 155.

    Lemmen C., Simic D., Stock S. A Vision of Future Healthcare: Potential Opportunities and Risks of Systems Medicine from a Citizen and Patient Perspective—Results of a Qualitative Study. Int. J. Environ. Res. Public Health. 2021;18:9879.

    Not in our library10.3390/ijerph18189879

  156. 156.

    Golz C., Peter K.A., Zwakhalen S.M.G., Hahn S. Technostress Among Health Professionals—A Multilevel Model and Group Comparisons between Settings and Professions. Inform. Health Soc. Care. 2021;46:137-149.

    Not in our library10.1080/17538157.2021.1872579

  157. 157.

    Tarikere S., Donner I., Woods D. Diagnosing a healthcare cybersecurity crisis: The impact of IoMT advancements and 5G. Bus. Horiz. 2021;64:799-807.

    Not in our library10.1016/j.bushor.2021.07.015

  158. 158.

    Li T., Zhao Y., Sun L., Feng C. Artificial intelligence medical platform and clinical care of chronic obstructive pulmonary disease based on microprocessor. Microprocess. Microsyst. 2021;82:103879.

    Not in our library10.1016/j.micpro.2021.103879

  159. 159.

    Rouge-Bugat M.-E., Beranger J. Evolution and impact of digital technology in the general practitioner-patient relationship. Case of the cancer patient. Bull. Acad. Natl. Med. 2021;205:822-830.

    Not in our library10.1016/j.banm.2021.04.017

  160. 160.

    Iodice F., Romoli M., Giometto B., Clerico M., Tedeschi G., Bonavita S., Leocani L., Lavorgna L., Digital Technologies W., Social Media Study Group of the Italian Society of N. Stroke and digital technology: A wake-up call from COVID-19 pandemic. Neurol. Sci. 2021;42:805-809.

    Not in our library10.1007/s10072-020-04993-3

  161. 161.

    Kulzer B. How do people with diabetes benefit from big data and artificial intelligence? Diabetologe. 2021;17:799-806.

    Not in our library10.1007/s11428-021-00818-9

  162. 162.

    Khosla S., Tepie M.F., Nagy M.J., Kafatos G., Seewald M., Marchese S., Liwing J. The Alignment of Real-World Evidence and Digital Health: Realising the Opportunity. Ther. Innov. Regul. Sci. 2021;55:889-898.

    Not in our library10.1007/s43441-021-00288-7

  163. 163.

    Dantas E., Nogaroli R. The Rise of Robotics and Artificial in the Ligence in Healthcare: New Challenges for the Doctrine of Informed Consent. Med. LAW. 2021;40:15-61.

    Not in our library

  164. 164.

    Gaur L., Afaq A., Singh G., Dwivedi Y.K. Role of artificial intelligence and robotics to foster the touchless travel during a pandemic: A review and research agenda. Int. J. Contemp. Hosp. Manag. 2021;33:4079-4098.

    Not in our library10.1108/ijchm-11-2020-1246

  165. 165.

    Khodadad-Saryazdi A. Exploring the telemedicine implementation challenges through the process innovation approach: A case study research in the French healthcare sector. Technovation. 2021;107:102273.

    Not in our library10.1016/j.technovation.2021.102273

  166. 166.

    Bellavista P., Torello M., Corradi A., Foschini L. Smart Management of Healthcare Professionals Involved in COVID-19 Contrast with SWAPS. Front. Sustain. Cities. 2021;3.

    Not in our library10.3389/frsc.2021.638743

  167. 167.

    Laukka E., Polkki T., Heponiemi T., Kaihlanen A.-M., Kanste O. Leadership in Digital Health Services: Protocol for a Concept Analysis. JMIR Res. Protoc. 2021;10.

    Not in our library10.2196/25495

  168. 168.

    Singh R.P., Haleem A., Javaid M., Kataria R., Singhal S. Cloud Computing in Solving Problems of COVID-19 Pandemic. J. Ind. Integr. Manag. 2021;6:209-219.

    Not in our library10.1142/s2424862221500044

  169. 169.

    Patalano R., De Luca V., Vogt J., Birov S., Giovannelli L., Carruba G., Pivonello C., Stroetmann V., Triassi M., Colao A., et al. An Innovative Approach to Designing Digital Health Solutions Addressing the Unmet Needs of Obese Patients in Europe. Int. J. Environ. Res. Public. Health. 2021;18:579.

    Not in our library10.3390/ijerph18020579

  170. 170.

    Mantel-Teeuwisse A.K., Meilianti S., Khatri B., Yi W., Azzopardi L.M., Acosta Gómez J., Gülpınar G., Bennara K., Uzman N. Digital Health in Pharmacy Education: Preparedness and Responsiveness of Pharmacy Programmes. Educ. Sci. 2021;11:296.

    Not in our library10.3390/educsci11060296

  171. 171.

    Mues S., Surges R. Research and development of telemedical applications and mobile health technologies in epilepsy Survey in Germany, Austria and Switzerland. Z. Epileptol. 2021;34:253-256.

    Not in our library10.1007/s10309-021-00420-5

  172. 172.

    Bosch-Capblanch X., O’Donnell D., Krause L.K., Auer C., Oyo-Ita A., Samba M., Matsinhe G., Garba A.B., Rodríguez D., Zuske M., et al. Researching, co-creating and testing innovations in paper-based health information systems (PHISICC) to support health workers’ decision-making: Protocol of a multi-country, transdisciplinary, mixed-methods research programme in three sub-Saharan countries. Health Res. Policy Syst. 2021;19:112.

    Not in our library10.1186/s12961-021-00768-0

  173. 173.

    Jaboyedoff M., Rakic M., Bachmann S., Berger C., Diezi M., Fuchs O., Frey U., Gervaix A., Glucksberg A.S., Grotzer M., et al. SwissPedData: Standardising hospital records for the benefit of paediatric research. Swiss Med. Wkly. 2021;151:w30069.

    Not in our library10.4414/smw.2021.w30069

  174. 174.
  175. 175.

    Hertling S., Loos F.M., Graul I. Telemedicine as a Therapeutic Option in Sports Medicine: Results of a Nationwide Cross-Sectional Study among Physicians and Patients in Germany. Int. J. Environ. Res. Public. Health. 2021;18:7110.

    Not in our library10.3390/ijerph18137110

  176. 176.

    Khan I.S., Ahmad M.O., Majava J. Industry 4.0 and sustainable development: A systematic mapping of triple bottom line, Circular Economy and Sustainable Business Models perspectives. J. Clean. Prod. 2021;297:126655.

    Not in our library10.1016/j.jclepro.2021.126655

  177. 177.

    Mun S.K., Wong K.H., Lo S.-C.B., Li Y., Bayarsaikhan S. Artificial Intelligence for the Future Radiology Diagnostic Service. Front. Mol. Biosci. 2021;7:614258.

    Not in our library10.3389/fmolb.2020.614258

  178. 178.

    Xi X., Wei S., Lin K.L., Zhou H., Wang K., Zhou H., Li Z., Nan N., Qiu L., Hu F., et al. Digital Technology, Knowledge Level, and Food Safety Governance: Implications for National Healthcare System. Front. Public Health. 2021;9:753950.

    Not in our library10.3389/fpubh.2021.753950

  179. 179.

    Weichert J., Welp A., Scharf J.L., Dracopoulos C., Becker W.-H., Gembicki M. The Use of Artificial Intelligence in Automation in the Fields of Gynaecology and Obstetrics—An Assessment of the State of Play. Geburtshilfe Frauenheilkd. 2021;81:1203-1216.

    Not in our library10.1055/a-1522-3029

  180. 180.
  181. 181.

    Williams R., Sheikh A., Franklin B.D., Krasuska M., Nguyen H.T., Hinder S., Lane W., Mozaffar H., Mason K., Eason S., et al. Using Blueprints to promote interorganizational knowledge transfer in digital health initiatives-a qualitative exploration of a national change program in English hospitals. J. Am. Med. Inform. Assoc. 2021;28:1431-1439.

    Not in our library10.1093/jamia/ocab020

  182. 182.

    Feroz A.S., Khoja A., Saleem S. Equipping community health workers with digital tools for pandemic response in LMICs. Arch. Public Health. 2021;79:1.

    Not in our library10.1186/s13690-020-00513-z

  183. 183.

    Huser D., Bon A., Anifalaje A. Uncovering generative mechanisms of information use for project monitoring in humanitarian health management information systems. Electron. J. Inf. Syst. Dev. Ctries. 2021;87:e12184.

    Not in our library10.1002/isd2.12184

  184. 184.

    Apostolos K. Electronic health records and personal data protection: The legal and sociological approach. Arch. Hell. Med. 2021;38:394-400.

    Not in our library

  185. 185.

    Simsek P., Gunduz A., Imamoglu M. Technological Innovations in Emergency Department Services. Eurasian J. Emerg. Med. 2021;20:128-134.

    Not in our library10.4274/eajem.galenos.2020.54775

  186. 186.

    Khamisy-Farah R., Furstenau L.B., Kong J.D., Wu J., Bragazzi N.L. Gynecology Meets Big Data in the Disruptive Innovation Medical Era: State-of-Art and Future Prospects. Int. J. Environ. Res. Public Health. 2021;18:5058.

    Not in our library10.3390/ijerph18105058

  187. 187.

    Egarter S., Mutschler A., Brass K. Impact of COVID-19 on digital medical education: Compatibility of digital teaching and examinations with integrity and ethical principles. Int. J. Educ. Integr. 2021;17:18.

    Not in our library10.1007/s40979-021-00084-8

  188. 188.

    Can Y.S., Ersoy C. Privacy-preserving federated deep learning for wearable IoT-based biomedical monitoring. ACM Trans. Internet Technol. TOIT. 2021;21:1-17.

    Not in our library10.1145/3428152

  189. 189.

    Sung S., Hørthe H., Svendsen Ø.V., van Duinen A.J., Salvesen Ø., Vandi A., Bolkan H.A. Early evaluation of the transition from an analog to an electronic surgical logbook system in Sierra Leone. BMC Med. Educ. 2021;21:578.

    Not in our library10.1186/s12909-021-03012-z

  190. 190.

    Zoellner J.P., Noda A.H., McCoy J., Roth C., Fischer D., Bollensen E., Henn K.-H., Willems L.M., Leyer A.-C., Schubert-Bast S., et al. Attitudes and barriers towards telemedicine in epilepsy care: A survey among neurological practices. Z. Epileptol. 2021;34:318-323.

    Not in our library10.1007/s10309-021-00417-0

  191. 191.

    Oliveira J., Azevedo A., Ferreira J.J., Gomes S., Lopes J.M. An insight on B2B Firms in the Age of Digitalization and Paperless Processes. Sustainability. 2021;13:1565.

    Not in our library10.3390/su132111565

  192. 192.
  193. 193.

    Li J.-P.O., Liu H., Ting D.S.J., Jeon S., Chan R.V.P., Kim J.E., Sim D.A., Thomas P.B.M., Lin H., Chen Y., et al. Digital technology, tele-medicine and artificial intelligence in ophthalmology: A global perspective. Prog. Retin. Eye Res. 2021;82:100900.

    Not in our library10.1016/j.preteyeres.2020.100900

  194. 194.

    Klimanov D., Tretyak O., Goren U., White T. Transformation of Value in Innovative Business Models: The Case of Pharmaceutical Market. Foresight Sti Gov. 2021;15:52-65.

    Not in our library10.17323/2500-2597.2021.3.52.65

  195. 195.

    Nadav J., Kaihlanen A.-M., Kujala S., Laukka E., Hilama P., Koivisto J., Keskimaki I., Heponiemi T. How to Implement Digital Services in a Way That They Integrate into Routine Work: Qualitative Interview Study among Health and Social Care Professionals. J. Med. Internet Res. 2021;23:e31668.

    Not in our library10.2196/31668

  196. 196.

    Spanakis P., Heron P., Walker L., Crosland S., Wadman R., Newbronner E., Johnston G., Gilbody S., Peckham E. Use of the Internet and Digital Devices Among People With Severe Mental Ill Health During the COVID-19 Pandemic Restrictions. Front. Psychiatry. 2021;12:732735.

    Not in our library10.3389/fpsyt.2021.732735

  197. 197.

    Polyakov M., Kovshun N. Diffusion of Innovations as a Key Driver of the Digital Economy Development. Balt. J. Econ. Stud. 2021;7:84-92.

    Not in our library10.30525/2256-0742/2021-7-1-84-92

  198. 198.

    Fristedt S., Smith F., Grynne A., Browall M. Digi-Do: A digital information tool to support patients with breast cancer before, during, and after start of radiotherapy treatment: An RCT study protocol. BMC Med. Inform. Decis. Mak. 2021;21:76.

    Not in our library10.1186/s12911-021-01448-3

  199. 199.

    Mandal M., Dutta R. Identity-based outsider anonymous cloud data outsourcing with simultaneous individual transmission for IoT environment. J. Inf. Secur. Appl. 2021;60:102870.

    Not in our library10.1016/j.jisa.2021.102870

  200. 200.

    Ozdemir V. Digital Is Political: Why We Need a Feminist Conceptual Lens on Determinants of Digital Health. OMICS- J. Integr. Biol. 2021;25:249-254.

    Not in our library10.1089/omi.2021.0020

  201. 201.

    Eberle C., Stichling S. Clinical Improvements by Telemedicine Interventions Managing Type 1 and Type 2 Diabetes: Systematic Meta-review. J. Med. Internet Res. 2021;23:e23244.

    Not in our library10.2196/23244

  202. 202.

    Iakovleva T., Oftedal E., Bessant J. Changing Role of Users-Innovating Responsibly in Digital Health. Sustainability. 2021;13:1616.

    Not in our library10.3390/su13041616

  203. 203.

    Von Solodkoff M., Strumann C., Steinhaeuser J. Acceptance of Care Offers for exclusive Remote Treatment Illustrated by the Telemedical Model Project “docdirekt” with a Mixed-Methods Design. Gesundheitswesen. 2021;83:186-194.

    Not in our library10.1055/a-1173-9903

  204. 204.

    Khuntia J., Ning X., Stacey R. Digital Orientation of Health Systems in the Post-COVID-19 “New Normal” in the United States: Cross-sectional Survey. J. Med. Internet Res. 2021;23:e30453.

    Not in our library10.2196/30453

  205. 205.
  206. 206.

    Masłoń-Oracz A., Ojiambo J., Kevin O. Digital Economy as a Driver of Sustainable and Inclusive Growth in Africa—Case Study. Research and Innovation Forum 2020: Disruptive Technologies in Times of Change. 2020;605-616.

    Not in our library

  207. 207.

    Abrahams M., Matusheski N.V. Personalised nutrition technologies: A new paradigm for dietetic practice and training in a digital transformation era. J. Hum. Nutr. Diet. 2020;33:295.

    Not in our library10.1111/jhn.12746

  208. 208.

    Agnihothri S., Cui L., Delasay M., Rajan B. The value of mHealth for managing chronic conditions. Health Care Manag. Sci. 2020;23:185-202.

    Not in our library10.1007/s10729-018-9458-2

  209. 209.

    Bukowski M., Farkas R., Beyan O., Moll L., Hahn H., Kiessling F., Schmitz-Rode T. Implementation of eHealth and AI integrated diagnostics with multidisciplinary digitized data: Are we ready from an international perspective? Eur. Radiol. 2020;30:5510-5524.

    Not in our library10.1007/s00330-020-06874-x

  210. 210.

    Chiang D.-L., Huang Y.-T., Chen T.-S., Lai F.-P. Applying time-constraint access control of personal health record in cloud computing. Enterp. Inf. Syst. 2020;14:266-281.

    Not in our library10.1080/17517575.2018.1522452

  211. 211.

    Cobelli N., Chiarini A. Improving customer satisfaction and loyalty through mHealth service digitalization: New challenges for Italian pharmacists. TQM J. 2020;32:1541-1560.

    Not in our library10.1108/tqm-10-2019-0252

  212. 212.
  213. 213.

    Do Nascimento M.G., Iorio G., Thome T.G., Medeiros A.A.M., Mendonca F.M., Campos F.A., David J.M., Stroele V., Dantas M.A.R. Covid-19: A Digital Transformation Approach to a Public Primary Healthcare Environment. Proceedings of the 2020 IEEE Symposium on Computers and Communications (ISCC). 1-6.

    Not in our library

  214. 214.

    Geiger M.F., Wilhelmy S., Schmidt M., Firsching R., Groß D., Clusmann H. Current Practice of Neurosurgical Teleconsultation in Germany. J. Neurol. Surg. Part Cent. Eur. Neurosurg. 2020;81:521-528.

    Not in our library10.1055/s-0040-1710505

  215. 215.

    Gochhait S., Singh T., Bende A., Thapliyal M., Vemulapalli H., Shukla G., Ghosh D., Chinta D. Implementation of EHR using Digital Transformation: A study on Telemedicine. Proceedings of the 2020 International Conference for Emerging Technology (INCET). 1-4.

    Not in our library

  216. 216.

    Kernebeck S., Busse T.S., Böttcher M.D., Weitz J., Ehlers J., Bork U. Impact of mobile health and medical applications on clinical practice in gastroenterology. World J. Gastroenterol. 2020;26:4182-4197.

    Not in our library10.3748/wjg.v26.i29.4182

  217. 217.

    Klinker K., Wiesche M., Krcmar H. Digital Transformation in Health Care: Augmented Reality for Hands-Free Service Innovation. Inf. Syst. Front. 2020;22:1419-1431.

    Not in our library10.1007/s10796-019-09937-7

  218. 218.

    Krasuska M., Williams R., Sheikh A., Franklin B.D., Heeney C., Lane W., Mozaffar H., Mason K., Eason S., Hinder S., et al. Technological Capabilities to Assess Digital Excellence in Hospitals in High Performing Health Care Systems: International eDelphi Exercise. J. Med. Internet Res. 2020;22:e17022.

    Not in our library10.2196/17022

  219. 219.

    Leigh S., Ashall-Payne L., Andrews T. Barriers and Facilitators to the Adoption of Mobile Health Among Health Care Professionals From the United Kingdom: Discrete Choice Experiment. JMIR MHealth UHealth. 2020;8:e17704.

    Not in our library10.2196/17704

  220. 220.

    Minssen T., Mimler M., Mak V. When Does Stand-Alone Software Qualify as a Medical Device in the European Union?—The Cjeu’s Decision in Snitem and What It Implies for the Next Generation of Medical Devices. Med. Law Rev. 2020;28:615-624.

    Not in our library10.1093/medlaw/fwaa012

  221. 221.

    Mueller M., Knop M., Niehaves B., Adarkwah C.C. Investigating the Acceptance of Video Consultation by Patients in Rural Primary Care: Empirical Comparison of Preusers and Actual Users. JMIR Med. Inform. 2020;8:e20813.

    Not in our library10.2196/20813

  222. 222.

    Nadarzynski T., Bayley J., Llewellyn C., Kidsley S., Graham C.A. Acceptability of artificial intelligence (AI)-enabled chatbots, video consultations and live webchats as online platforms for sexual health advice. BMJ Sex. Reprod. Health. 2020;46:210-217.

    Not in our library10.1136/bmjsrh-2018-200271

  223. 223.

    Pekkarinen S., Hasu M., Melkas H., Saari E. Information ecology in digitalising welfare services: A multi-level analysis. Inf. Technol. People. 2021;34:1697-1720.

    Not in our library10.1108/itp-12-2019-0635

  224. 224.

    SHAPES Secure Cloud Platform for HealthCare Solutions and Services. Proceedings of the 19th European Conference on Cyber Warfare.

    Not in our library

  225. 225.

    Salamah Y., Asyifa R.D., Afifah T.Y., Maulana F., Asfarian A. Thymun: Smart mobile health platform for the autoimmune community to improve the health and well-being of autoimmune sufferers in Indonesia. Proceedings of the 2020 8th International Conference on Information and Communication Technology (ICoICT). 1-6.

    Not in our library

  226. 226.

    Stephanie L., Sharma R.S. Digital health eco-systems: An epochal review of practice-oriented research. Int. J. Inf. Manag. 2020;53:102032.

    Not in our library10.1016/j.ijinfomgt.2019.10.017

  227. 227.
  228. 228.

    Moro Visconti R., Morea D. Healthcare digitalization and pay-for-performance incentives in smart hospital project financing. Int. J. Environ. Res. Public. Health. 2020;17:2318.

    Not in our library10.3390/ijerph17072318

  229. 229.

    Yousaf K., Mehmood Z., Awan I.A., Saba T., Alharbey R., Qadah T., Alrige M.A. A comprehensive study of mobile-health based assistive technology for the healthcare of dementia and Alzheimer’s disease (AD). Health Care Manag. Sci. 2020;23:287-309.

    Not in our library10.1007/s10729-019-09486-0

  230. 230.

    Asthana S., Jones R., Sheaff R. Why does the NHS struggle to adopt eHealth innovations? A review of macro, meso and micro factors. BMC Health Serv. Res. 2019;19:984.

    Not in our library10.1186/s12913-019-4790-x

  231. 231.

    Astruc B. Challenges and perspectives in the private practice of psychiatry: The development of tele-psychiatry. Ann. Med. Psychol. 2019;177:67-70.

    Not in our library10.1016/j.amp.2018.11.006

  232. 232.

    Baltaxe E., Czypionka T., Kraus M., Reiss M., Askildsen J.E., Grenkovic R., Lindén T.S., Pitter J.G., Rutten-van Molken M., Solans O., et al. Digital Health Transformation of Integrated Care in Europe: Overarching Analysis of 17 Integrated Care Programs. J. Med. Internet Res. 2019;21:e14956.

    Not in our library10.2196/14956

  233. 233.

    Caumanns J. For discussion: The state of digitization of the German healthcare system. Z. Evidenz Fortbild. Qual. Gesundh. 2019;143:22-29.

    Not in our library10.1016/j.zefq.2019.04.002

  234. 234.

    Diamantopoulos S., Karamitros D., Romano L., Coppolino L., Koutkias V., Votis K., Stan O., Campegiani P., Martinez D.M., Nalin M. Secure Cross-Border Exchange of Health Related Data: The KONFIDO Approach. 2019;318-327.

    Not in our library

  235. 235.
  236. 236.

    McBride A. How Will Advances in Technology Put the Customer at the Center of Health Care? 2019.

    Not in our library

  237. 237.

    Hatzivasilis G., Chatziadam P., Petroulakis N., Ioannidis S., Mangini M., Kloukinas C., Yautsiukhin A., Antoniou M., Katehakis D.G., Panayiotou M. Cyber Insurance of Information Systems: Security and Privacy Cyber Insurance Contracts for ICT and Helathcare Organizations. Proceedings of the 2019 IEEE 24th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD). 1-6.

    Not in our library

  238. 238.

    Go Jefferies J., Bishop S., Hibbert S. Customer boundary work to navigate institutional arrangements around service interactions: Exploring the case of telehealth. J. Bus. Res. 2019;105:420-433.

    Not in our library10.1016/j.jbusres.2019.03.052

  239. 239.

    Kivimaa P., Boon W., Hyysalo S., Klerkx L. Towards a typology of intermediaries in sustainability transitions: A systematic review and a research agenda. Res. Policy. 2019;48:1062-1075.

    Not in our library10.1016/j.respol.2018.10.006

  240. 240.

    Klocek A., Šmahelová M., Knapová L., Elavsky S. GPs’ perspectives on eHealth use in the Czech Republic: A cross-sectional mixed-design survey study. BJGP Open. 2019;3:bjgpopen19X101655.

    Not in our library10.3399/bjgpopen19x101655

  241. 241.

    Kohl S., Schoenfelder J., Fügener A., Brunner J.O. The use of Data Envelopment Analysis (DEA) in healthcare with a focus on hospitals. Health Care Manag. Sci. 2019;22:245-286.

    Not in our library10.1007/s10729-018-9436-8

  242. 242.

    Kouroubali A., Katehakis D.G. The new European interoperability framework as a facilitator of digital transformation for citizen empowerment. J. Biomed. Inform. 2019;94:103166.

    Not in our library10.1016/j.jbi.2019.103166

  243. 243.

    Manard S., Vergos N., Tamayo S., Fontane F. Electronic health record in the era of industry 4.0: The French example. arXiv. 2019.

    Not in our library

  244. 244.

    Mende M. The innovation imperative in healthcare: An interview and commentary. AMS Rev. 2019;9:121-131.

    Not in our library10.1007/s13162-019-00140-0

  245. 245.

    Mishra S.R., Lygidakis C., Neupane D., Gyawali B., Uwizihiwe J.P., Virani S.S., Kallestrup P., Miranda J.J. Combating non-communicable diseases: Potentials and challenges for community health workers in a digital age, a narrative review of the literature. Health Policy Plan. 2019;34:55-66.

    Not in our library10.1093/heapol/czy099

  246. 246.

    Niemelä R., Pikkarainen M., Ervasti M., Reponen J. The change of pediatric surgery practice due to the emergence of connected health technologies. Technol. Forecast. Soc. Change. 2019;146:352-365.

    Not in our library10.1016/j.techfore.2019.06.001

  247. 247.

    Nittas V., Lun P., Ehrler F., Puhan M.A., Mütsch M. Electronic Patient-Generated Health Data to Facilitate Disease Prevention and Health Promotion: Scoping Review. J. Med. Internet Res. 2019;21:e13320.

    Not in our library10.2196/13320

  248. 248.

    Noor A. Discovering Gaps in Saudi Education for Digital Health Transformation. Int. J. Adv. Comput. Sci. Appl. 2019;10.

    Not in our library10.14569/ijacsa.2019.0101015

  249. 249.

    Pape L., Schneider N., Schleef T., Junius-Walker U., Haller H., Brunkhorst R., Hellrung N., Prokosch H.U., Haarbrandt B., Marschollek M., et al. The nephrology eHealth-system of the metropolitan region of Hannover for digitalization of care, establishment of decision support systems and analysis of health care quality. BMC Med. Inform. Decis. Mak. 2019;19:176.

    Not in our library10.1186/s12911-019-0902-0

  250. 250.

    Patrício L., Teixeira J.G., Vink J. A service design approach to healthcare innovation: From decision-making to sense-making and institutional change. AMS Rev. 2019;9:115-120.

    Not in our library10.1007/s13162-019-00138-8

  251. 251.

    Russo Spena T., Cristina M. Practising innovation in the healthcare ecosystem: The agency of third-party actors. J. Bus. Ind. Mark. 2019;35:390-403.

    Not in our library10.1108/jbim-01-2019-0048

  252. 252.

    Rydenfält C., Persson J., Erlingsdottir G., Johansson G. eHealth Services in the Near and Distant Future in Swedish Home Care Nursing. CIN Comput. Inform. Nurs. 2019;37:366-372.

    Not in our library10.1097/cin.0000000000000536

  253. 253.

    Savikko J., Rauta V. Implementing eHealth in Kidney Transplantation in Finland. Transplant. Proc. 2019;51:464-465.

    Not in our library10.1016/j.transproceed.2019.01.064

  254. 254.

    Vial G. Understanding digital transformation: A review and a research agenda. J. Strateg. Inf. Syst. 2019;28:118-144.

    Not in our library10.1016/j.jsis.2019.01.003

  255. 255.

    Wangdahl J.M., Dahlberg K., Jaensson M., Nilsson U. Psychometric validation of Swedish and Arabic versions of two health literacy questionnaires, eHEALS and HLS-EU-Q16, for use in a Swedish context: A study protocol. BMJ Open. 2019;9:e029668.

    Not in our library10.1136/bmjopen-2019-029668

  256. 256.

    Watson H.A., Tribe R.M., Shennan A.H. The role of medical smartphone apps in clinical decision-support: A literature review. Artif. Intell. Med. 2019;100:101707.

    Not in our library10.1016/j.artmed.2019.101707

  257. 257.

    Weigand M., Koester-Steinebach I. For discussion: What potential does digitization hold for patient safety? Z. Evidenz Fortbild. Qual. Gesund. 2019;144:52-59.

    Not in our library10.1016/j.zefq.2019.07.005

  258. 258.

    Zanutto A. ‘Two clicks and I’m in!’ Patients as co-actors in managing health data through a personal health record infrastructure. Health Inform. J. 2019;25:389-400.

    Not in our library10.1177/1460458217712056

  259. 259.

    Goh W., Jane L.Y.W., Aziz A.F.A., Phua Y.X. CHARM: Adopting Digitalization in Community Health Assessment and Review on Mobile. Proceedings of the 2018 Fourth International Conference on Advances in Computing, Communication & Automation (ICACCA). 1-6.

    Not in our library

  260. 260.
  261. 261.

    Poss-Doering R., Kunz A., Pohlmann S., Hofmann H., Kiel M., Winkler E.C., Ose D., Szecsenyi J. Utilizing a Prototype Patient-Controlled Electronic Health Record in Germany: Qualitative Analysis of User-Reported Perceptions and Perspectives. JMIR Form. Res. 2018;2:e10411.

    Not in our library10.2196/10411

  262. 262.

    Khatoon A., Umadevi V. Integrating OAuth and Aadhaar with e-Health care System. Proceedings of the 2018 3rd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT). 1681-1686.

    Not in our library

  263. 263.

    Melchiorre M.G., Papa R., Rijken M., van Ginneken E., Hujala A., Barbabella F. eHealth in integrated care programs for people with multimorbidity in Europe: Insights from the ICARE4EU project. Health Policy. 2018;122:53-63.

    Not in our library10.1016/j.healthpol.2017.08.006

  264. 264.

    Ngwenyama O., Klein S. Phronesis, argumentation and puzzle solving in IS research: Illustrating an approach to phronetic IS research practice. Eur. J. Inf. Syst. 2018;27:347-366.

    Not in our library10.1080/0960085x.2018.1435229

  265. 265.

    Öberg U., Orre C.J., Isaksson U., Schimmer R., Larsson H., Hörnsten Å. Swedish primary healthcare nurses’ perceptions of using digital eHealth services in support of patient self-management. Scand. J. Caring Sci. 2018;32:961-970.

    Not in our library10.1111/scs.12534

  266. 266.

    Parkin C.G., Homberg A., Hinzmann R. 10th Annual Symposium on Self-Monitoring of Blood Glucose, 27–29 April 2017, Warsaw, Poland. Diabetes Technol. Ther. 2018;20:68-89.

    Not in our library10.1089/dia.2017.0356

  267. 267.

    Tuzii J. Healthcare information technology in Italy, critiques and suggestions for European digitalization. Pharm. Policy Law. 2018;19:161-176.

    Not in our library10.3233/ppl-180460

  268. 268.

    Brockes C., Grischott T., Dutkiewicz M., Schmidt-Weitmann S. Evaluation of the education “Clinical Telemedicine/e-Health” in the curriculum of medical students at the University of Zurich. Telemed. E-Health. 2017;23:899-904.

    Not in our library10.1089/tmj.2017.0011

  269. 269.

    Cavusoglu L., Demirbag-Kaplan M. Health commodified, health communified: Navigating digital consumptionscapes of well-being. Eur. J. Mark. 2017;51:2054-2079.

    Not in our library10.1108/ejm-01-2017-0015

  270. 270.

    Cerdan J., Catalan-Matamoros D., Berg S.W. Online communication in a rehabilitation setting: Experiences of patients with chronic conditions using a web portal in Denmark. Patient Educ. Couns. 2017;100:2283-2289.

    Not in our library10.1016/j.pec.2017.06.023

  271. 271.

    Coppolino L., D’Antonio S., Romano L., Sgaglione L., Staffa M. Addressing Security Issues in the Eheatlh Domain Relying on SIEM Solutions. Proceedings of the 2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC). Volume 2;510-515.

    Not in our library

  272. 272.

    Geiger S., Gross N. Does hype create irreversibilities? Affective circulation and market investments in digital health. Mark. Theory. 2017;17:435-454.

    Not in our library10.1177/1470593117692024

  273. 273.

    Giacosa E., Ferraris A., Bresciani S. Exploring voluntary external disclosure of intellectual capital in listed companies: An integrated intellectual capital disclosure conceptual model. J. Intellect. Cap. 2017;18:149-169.

    Not in our library10.1108/jic-01-2016-0019

  274. 274.

    Hong G.E., Lee H.J., Kim J.A., Yumnam S., Raha S., Saralamma V.V.G., Heo J.D., Lee S.J., Kim E.H., Won C.K., et al. Korean Byungkyul—Citrus platymamma Hort.et Tanaka flavonoids induces cell cycle arrest and apoptosis, regulating MMP protein expression in Hep3B hepatocellular carcinoma cells. Int. J. Oncol. 2017;50:575-586.

    Not in our library10.3892/ijo.2016.3816

  275. 275.

    Huesers J., Huebner U., Esdar M., Ammenwerth E., Hackl W.O., Naumann L., Liebe J.D. Innovative Power of Health Care Organisations Affects IT Adoption: A bi-National Health IT Benchmark Comparing Austria and Germany. J. Med. Syst. 2017;41.

    Not in our library10.1007/s10916-016-0671-6

  276. 276.
  277. 277.

    Paulin A., Thuemmler C., Bai C. Data Traffic Forecast in Health 4.0. Health 4.0: How Virtualization and Big Data Are Revolutionizing Healthcare. 2017;39-60.

    Not in our library10.1007/978-3-319-47617-9_3

  278. 278.

    Schobel J., Pryss R., Schickler M., Reichert M. Towards Patterns for Defining and Changing Data Collection Instruments in Mobile Healthcare Scenarios. Proceedings of the 2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS). 101-102.

    Not in our library

  279. 279.

    Seddon J.J.J.M., Currie W.L. Healthcare financialisation and the digital divide in the European Union: Narrative and numbers. Inf. Manag. 2017;54:1084-1096.

    Not in our library10.1016/j.im.2017.03.002

  280. 280.

    Thorseng A.A., Grisot M. Digitalization as institutional work: A case of designing a tool for changing diabetes care. Inf. Technol. People. 2017;30:227-243.

    Not in our library10.1108/itp-07-2015-0155

  281. 281.

    Amato F., Colace F., Greco L., Moscato V., Picariello A. Semantic processing of multimedia data for e-government applications. J. Vis. Lang. Comput. 2016;32:35-41.

    Not in our library10.1016/j.jvlc.2015.10.012

  282. 282.

    Bongaerts R., Henn H., Khare A., Khare A., Stewart B., Schatz R. The Pac-Man Principle in the Healthcare Market. Phantom Ex Machina. 2017;175-184.

    Not in our library

  283. 283.

    Cucciniello M., Lapsley I., Nasi G. Managing health care in the digital world: A comparative analysis. Health Serv. Manag. Res. 2016;29:132-142.

    Not in our library10.1177/0951484816674032

  284. 284.

    Evans R.S. Electronic Health Records: Then, Now, and in the Future. Yearb. Med. Inform. 2016;25:S48-S61.

    Not in our library10.15265/iys-2016-s006

  285. 285.

    Faried A., Sutiono A.B., Djuwantono T., Arifin M.Z., Wirakusumah F.F., Yuniarto S.A., Hariyanto H., Jayadi Y.T. Mother and children health reporting system: Innovative information system application in the rural West Bandung Area, Indonesia, by using multimodal communications systems. Proceedings of the 2015 4th International Conference on Instrumentation, Communications, Information Technology, and Biomedical Engineering (ICICI-BME). 202-207.

    Not in our library

  286. 286.

    Harjumaa M., Saraniemi S., Pekkarinen S., Lappi M., Similä H., Isomursu M. Feasibility of digital footprint data for health analytics and services: An explorative pilot study. BMC Med. Inform. Decis. Mak. 2016;16:139.

    Not in our library10.1186/s12911-016-0378-0

  287. 287.

    Mattsson T. Quality Registries in Sweden, Healthcare Improvements and Elderly Persons with Cognitive Impairments. Eur. J. Health Law. 2016;23:453-469.

    Not in our library10.1163/15718093-12341429

  288. 288.

    Mazor I., Heart T., Even A. Simulating the impact of an online digital dashboard in emergency departments on patients length of stay. J. Decis. Syst. 2016;25:343-353.

    Not in our library10.1080/12460125.2016.1187422

  289. 289.

    Anwar M., Joshi J., Tan J. Anytime, anywhere access to secure, privacy-aware healthcare services: Issues, approaches and challenges. Health Policy Technol. 2015;4:299-311.

    Not in our library10.1016/j.hlpt.2015.08.007

  290. 290.

    Kostkova P. Grand Challenges in Digital Health. Front. Public Health. 2015;3:134.

    Not in our library10.3389/fpubh.2015.00134

  291. 291.

    Laur A. Fear of e-Health Records implementation? Med. Leg. J. 2015;83:34-39.

    Not in our library10.1177/0025817214540396

  292. 292.

    Sultan N. Reflective thoughts on the potential and challenges of wearable technology for healthcare provision and medical education. Int. J. Inf. Manag. 2015;35:521-526.

    Not in our library10.1016/j.ijinfomgt.2015.04.010

  293. 293.

    Nudurupati S.S., Bhattacharya A., Lascelles D., Caton N. Strategic sourcing with multi-stakeholders through value co-creation: An evidence from global health care company. Int. J. Prod. Econ. 2015;166:248-257.

    Not in our library10.1016/j.ijpe.2015.01.008

  294. 294.

    Sanders K., Sánchez Valle M., Viñaras M., Llorente C. Do we trust and are we empowered by “Dr. Google”? Older Spaniards’ uses and views of digital healthcare communication. Public Relat. Rev. 2015;41:794-800.

    Not in our library10.1016/j.pubrev.2015.06.015

  295. 295.

    Cook D.A., West C.P. Conducting systematic reviews in medical education: A stepwise approach. Med. Educ. 2012;46:943-952.

    Not in our library10.1111/j.1365-2923.2012.04328.x

  296. 296.

    Khan M.F.F., Sakamura K. Context-aware access control for clinical information systems. Proceedings of the 2012 International Conference on Innovations in Information Technology (IIT). 2012;123-128.

    Not in our library

  297. 297.

    Thomas P. Bhoomi, Gyan Ganga, e-governance and the right to information: ICTs and development in India. Telemat. Inform. 2009;26:20-31.

    Not in our library10.1016/j.tele.2007.12.004

  298. 298.

    Buccoliero L., Calciolari S., Marsilio M. A methodological and operativeframework for the evaluation of ane-health project. Int. J. Health Plann. Manag. 2008;23:3-20.

    Not in our library10.1002/hpm.881

  299. 299.

    Hikmet N., Bhattacherjee A., Menachemi N., Kayhan V.O., Brooks R.G. The role of organizational factors in the adoption of healthcare information technology in Florida hospitals. Health Care Manag. Sci. 2008;11:1-9.

    Not in our library10.1007/s10729-007-9036-5

  300. 300.

    Zdravković S. Telemedicine: Perspectives and expectations. Arch. Oncol. 2008;16:69-73.

    Not in our library10.2298/aoo0804069z

  301. 301.

    Kitsios F., Kamariotou M. Mapping new service development: A review and synthesis of literature. Serv. Ind. J. 2020;40:682-704.

    Not in our library10.1080/02642069.2018.1561876

  302. 302.

    Hsu J., Huang J., Kinsman J., Fireman B., Miller R., Selby J., Ortiz E. Use of e-Health services between 1999 and 2002: A growing digital divide. J. Am. Med. Inform. Assoc. 2005;12:164-171.

    Not in our library10.1197/jamia.m1672

  303. 303.

    Fang Y. Visualizing the structure and the evolving of digital medicine: A scientometrics review. Scientometrics. 2015;105:5-21.

    Not in our library10.1007/s11192-015-1696-1

  304. 304.

    Duplaga M. The acceptance of e-health solutions among patients with chronic respiratory conditions. Telemed. E-Health. 2013;19:683-691.

    Not in our library10.1089/tmj.2012.0306

  305. 305.

    Chauhan S., Jaiswal M. A meta-analysis of e-health applications acceptance. J. Enterp. Inf. Manag. 2017;30:295-319.

    Not in our library10.1108/jeim-08-2015-0078

  306. 306.

    Holden R.J., Karsh B.-T. The Technology Acceptance Model: Its past and its future in health care. J. Biomed. Inform. 2010;43:159-172.

    Not in our library10.1016/j.jbi.2009.07.002

  307. 307.

    WHO. A Health Telematics Policy in Support of WHO’s Health-For-All Strategy for Global Health Development, Report of the WHO Group Consultation on Health Telematics. 1997;11-16.

    Not in our library

  308. 308.

    Krupinski E.A., Antoniotti N., Bernard J. Utilization of the American Telemedicine Association’s Clinical Practice Guidelines. Telemed. E-Health. 2013;19:846-851.

    Not in our library10.1089/tmj.2013.0027

  309. 309.

    Sachpazidis I. Image and Medical Data Communication Protocols for Telemedicine and Teleradiology. Ph.D. Dissertation. 2008.

    Not in our library

  310. 310.

    Van’t Haaff C. Virtually On-sight. Just Can. Dr. 2009;22:22.

    Not in our library

  311. 311.

    Moffatt J.J., Eley D.S. Barriers to the up-take of telemedicine in Australia–a view from providers. Rural Remote Health. 2011;11:116-121.

    Not in our library10.22605/rrh1581

  312. 312.

    Craig J., Petterson V. Introduction to the practice of telemedicine. J. Telemed. Telecare. 2005;11:3-9.

    Not in our library10.1177/1357633x0501100102

  313. 313.

    Heinzelmann P.J., Lugn N.E., Kvedar J.C. Telemedicine in the future. J. Telemed. Telecare. 2005;11:384-390.

    Not in our library10.1177/1357633x0501100802

  314. 314.

    Wootton R., Geissbuhler A., Jethwani K., Kovarik C., Person D.A., Vladzymyrskyy A., Zanaboni P., Zolfo M. Long-running telemedicine networks delivering humanitarian services: Experience, performance and scientific output. Bull. World Health Organ. 2012;90:341-347D.

    Not in our library10.2471/blt.11.099143

  315. 315.

    Jennett P.A., Hall L.A., Hailey D., Ohinmaa A., Anderson C., Thomas R., Young B., Lorenzetti D., Scott R.E. The socio-economic impact of telehealth: A systematic review. J. Telemed. Telecare. 2003;9:311-320.

    Not in our library10.1258/135763303771005207

  316. 316.

    Wootton R. Telemedicine support for the developing world. J. Telemed. Telecare. 2008;14:109-114.

    Not in our library10.1258/jtt.2008.003001

  317. 317.

    Qaddoumi I., Bouffet E. Supplementation of a Successful Pediatric Neuro-Oncology Telemedicine-Based Twinning Program by E-Mails. Telemed. E-Health. 2009;15:975-982.

    Not in our library10.1089/tmj.2009.0043

  318. 318.

    Stanberry B. Legal and ethical aspects of telemedicine. J. Telemed. Telecare. 2006;12:166-175.

    Not in our library10.1258/135763306777488825

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