Using an Automated Evaluation System to Improve Medical Student Evaluation Response Rate and Reduce Administrative Burden.
Publication/Presentation Date
10-1-2026
Abstract
BACKGROUND: Email reminders facilitate timely task completion but can create substantial administrative burdens for clerkship staff. In our emergency medicine (EM) clerkship, third-year medical students initiate digital evaluation requests after each clinical shift, requiring frequent manual reminders to maintain completion rates. The time-intensive nature of this process highlights the need for a more efficient and scalable approach.
METHODS: This multi-site, pre-post study evaluated clinical performance evaluation completion rates and time to completion during the required EM clerkship over 48 weeks before and after implementation of an automated reminder system in September 2024. The system integrated existing survey functionality with Microsoft Excel and Microsoft Power Automate to track evaluation requests and completion and generate reminders every 2 days for up to 28 days. Primary outcomes were evaluation completion rate and time to completion. A theoretical cost analysis compared estimated personnel costs of the manual reminder process, based on administrator time and median salary estimates, with projected programming development and maintenance costs over 3 years.
RESULTS: A total of 5747 evaluations were sent during this period to attending and resident evaluators. Overall completion rate rose modestly post-intervention (71.4% to 75.1%,
CONCLUSIONS: Automated reminders improved evaluation completion but did not improve timeliness of completion, which may not translate into meaningful formative benefits if feedback is delayed. Further studies should focus on the impact on cognitive burden and evaluation quality before large-scale automated systems can be optimized and sustainably integrated into medical education.
Volume
10
Issue
5
First Page
70257
Last Page
70257
ISSN
2472-5390
Published In/Presented At
Laoteppitaks, C., Agarwal, A., Gonzalez, J., Mingioni, N., & Zhang, X. C. (2026). Using an Automated Evaluation System to Improve Medical Student Evaluation Response Rate and Reduce Administrative Burden. AEM education and training, 10(5), e70257. https://doi.org/10.1002/aet2.70257
Disciplines
Business Administration, Management, and Operations | Health and Medical Administration | Management Sciences and Quantitative Methods
PubMedID
42787639
Department(s)
Administration and Leadership
Document Type
Article