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Impact of Patient Load on the Quality of Electronic Medical Record Documentation

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 obse...

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Autores principales: Jacob, Aasems, Raj, Rishi, Alagusundaramoorthy, Sayee, Wei, Jing, Wu, Jianrong, Eng, Margaret
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7940739/
https://www.ncbi.nlm.nih.gov/pubmed/33786378
http://dx.doi.org/10.1177/2382120520988597
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author Jacob, Aasems
Raj, Rishi
Alagusundaramoorthy, Sayee
Wei, Jing
Wu, Jianrong
Eng, Margaret
author_facet Jacob, Aasems
Raj, Rishi
Alagusundaramoorthy, Sayee
Wei, Jing
Wu, Jianrong
Eng, Margaret
author_sort Jacob, Aasems
collection PubMed
description 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.
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spelling pubmed-79407392021-03-29 Impact of Patient Load on the Quality of Electronic Medical Record Documentation Jacob, Aasems Raj, Rishi Alagusundaramoorthy, Sayee Wei, Jing Wu, Jianrong Eng, Margaret J Med Educ Curric Dev Original Research 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. SAGE Publications 2021-01-20 /pmc/articles/PMC7940739/ /pubmed/33786378 http://dx.doi.org/10.1177/2382120520988597 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by-nc/4.0/ 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).
spellingShingle Original Research
Jacob, Aasems
Raj, Rishi
Alagusundaramoorthy, Sayee
Wei, Jing
Wu, Jianrong
Eng, Margaret
Impact of Patient Load on the Quality of Electronic Medical Record Documentation
title Impact of Patient Load on the Quality of Electronic Medical Record Documentation
title_full Impact of Patient Load on the Quality of Electronic Medical Record Documentation
title_fullStr Impact of Patient Load on the Quality of Electronic Medical Record Documentation
title_full_unstemmed Impact of Patient Load on the Quality of Electronic Medical Record Documentation
title_short Impact of Patient Load on the Quality of Electronic Medical Record Documentation
title_sort impact of patient load on the quality of electronic medical record documentation
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7940739/
https://www.ncbi.nlm.nih.gov/pubmed/33786378
http://dx.doi.org/10.1177/2382120520988597
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