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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2021
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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. |
format | Online Article Text |
id | pubmed-7940739 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
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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