Abstract
Objective:
American College of Graduate Medical Education (ACGME) recommends ongoing care of 10 patients per resident however its implication is unclear. We hypothesized EMR quality to vary based on patient load and call status.
Methods:
We conducted a double-blind, single-center, retrospective observational study between 2017 and 2019 to investigate the quality and accuracy of resident documentation using the Responsible Electronic Documentation (RED) Checklist, a validated scoring system.
Results:
A total of 234 independent charts were analyzed and 80 met scoring criteria. Average patients per residents was 4, 9.1, 7.2, and 5.5 on “call” day (D0), “post-call” day (D1), “mid-call” day (D2), and “pre-call” day (D3), respectively. Mean RED checklist scores were 68.1%, 57%, 68.6%, and 72.1% on the above call status. The difference in score between D3 and D1 was statistically significant (P = .00042). There was a negative correlation between score and number of patients per resident (r = −0.286, P = .010).
Conclusion:
EMR documentation quality is directly impacted by patient load and resident call status with the lowest documentation quality on post-call day, correlating with patient load.
Document Type
Article
Publication Date
1-20-2021
Digital Object Identifier (DOI)
https://doi.org/10.1177/2382120520988597
Repository Citation
Jacob, Aasems; Raj, Rishi; Alagusundaramoorthy, Sayee; Wei, Jing; Wu, Jianrong; and Eng, Margaret, "Impact of Patient Load on the Quality of Electronic Medical Record Documentation" (2021). Internal Medicine Faculty Publications. 228.
https://uknowledge.uky.edu/internalmedicine_facpub/228
Supplemental material
Included in
Internal Medicine Commons, Medical Education Commons, Statistics and Probability Commons
Notes/Citation Information
Published in Journal of Medical Education and Curricular Development, v. 8.
© The Author(s) 2021
This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).