Improving Compliance of Physicians in Reporting and Documenting Critical Alerts in a Cancer Hospital
Wania Imtiaz, Khawaja Shehryar Nasir, Fareeha Kanwal and 2 more
Journal of Cancer and Allied Specialties · 2021
doi:10.37029/jcas.v7i2.419 (opens in a new tab)
We email you when a new notice or a question about this paper appears.
Abstract
Introduction: A critical result of an investigation is considered a representation of a pathophysiological state deemed to be high-risk or life-threatening for the patient. Therefore, such results should be addressed in an appropriate and timely manner. Unfortunately, routine closed-chart audits suggested that the compliance of physicians in documenting critical alerts in patient notes was poor. This prompted the hospital to conduct a continuous quality improvement (CQI) project to improve the physicians' compliance. Materials and Methods: A cause-and-effect analysis was conducted using a fishbone diagram to identify the reasons for poor compliance. Based on the analysis, several modifications were made, including, but not limited to, hospital-wide educational sessions on the standard operating procedures of receiving and documenting critical alerts for the physicians, daily audit of critical alerts to review the appropriateness of documentation, and introduction of a new module in the hospital electronic medical record to acknowledge and document receiving critical alerts. Results: Before implementing the strategies to improve physicians' documentation compliance, the average compliance rate was 57 % in April 2020, and the median compliance rate was 52 % (January 2020 - April 2020). However, afterwards, within a couple of months of implementing changes, the average compliance rate increased to 88 %. This improvement was sustained for the next eight months (median of 89 %). Conclusion: This study found that CQI approach can be used to improve the compliance of the physicians for appropriately and timely documenting critical alerts, in this case, by continued education and training process and incorporating changes into the electronic hospital information system.
Abstract licence: CC BY-NC-SA
Reads
Read by people on this page
None yet.
Checked or read by AI through naulon
None yet.
A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.
Are you an author?
Is this your paper?
Claim it to add your note and be paid when agents cite it. Free.