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Metrics for assessing physician activity using electronic health record log data
Electronic health record (EHR) log data have shown promise in measuring physician time spent on clinical activities, contributing to deeper understanding and further optimization of the clinical environment. In this article, we propose 7 core measures of EHR use that reflect multiple dimensions of p...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7075531/ https://www.ncbi.nlm.nih.gov/pubmed/32027360 http://dx.doi.org/10.1093/jamia/ocz223 |
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author | Sinsky, Christine A Rule, Adam Cohen, Genna Arndt, Brian G Shanafelt, Tait D Sharp, Christopher D Baxter, Sally L Tai-Seale, Ming Yan, Sherry Chen, You Adler-Milstein, Julia Hribar, Michelle |
author_facet | Sinsky, Christine A Rule, Adam Cohen, Genna Arndt, Brian G Shanafelt, Tait D Sharp, Christopher D Baxter, Sally L Tai-Seale, Ming Yan, Sherry Chen, You Adler-Milstein, Julia Hribar, Michelle |
author_sort | Sinsky, Christine A |
collection | PubMed |
description | Electronic health record (EHR) log data have shown promise in measuring physician time spent on clinical activities, contributing to deeper understanding and further optimization of the clinical environment. In this article, we propose 7 core measures of EHR use that reflect multiple dimensions of practice efficiency: total EHR time, work outside of work, time on documentation, time on prescriptions, inbox time, teamwork for orders, and an aspirational measure for the amount of undivided attention patients receive from their physicians during an encounter, undivided attention. We also illustrate sample use cases for these measures for multiple stakeholders. Finally, standardization of EHR log data measure specifications, as outlined here, will foster cross-study synthesis and comparative research. |
format | Online Article Text |
id | pubmed-7075531 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-70755312020-03-18 Metrics for assessing physician activity using electronic health record log data Sinsky, Christine A Rule, Adam Cohen, Genna Arndt, Brian G Shanafelt, Tait D Sharp, Christopher D Baxter, Sally L Tai-Seale, Ming Yan, Sherry Chen, You Adler-Milstein, Julia Hribar, Michelle J Am Med Inform Assoc Perspective Electronic health record (EHR) log data have shown promise in measuring physician time spent on clinical activities, contributing to deeper understanding and further optimization of the clinical environment. In this article, we propose 7 core measures of EHR use that reflect multiple dimensions of practice efficiency: total EHR time, work outside of work, time on documentation, time on prescriptions, inbox time, teamwork for orders, and an aspirational measure for the amount of undivided attention patients receive from their physicians during an encounter, undivided attention. We also illustrate sample use cases for these measures for multiple stakeholders. Finally, standardization of EHR log data measure specifications, as outlined here, will foster cross-study synthesis and comparative research. Oxford University Press 2020-02-06 /pmc/articles/PMC7075531/ /pubmed/32027360 http://dx.doi.org/10.1093/jamia/ocz223 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of the American Medical Informatics Association. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contactjournals.permissions@oup.com |
spellingShingle | Perspective Sinsky, Christine A Rule, Adam Cohen, Genna Arndt, Brian G Shanafelt, Tait D Sharp, Christopher D Baxter, Sally L Tai-Seale, Ming Yan, Sherry Chen, You Adler-Milstein, Julia Hribar, Michelle Metrics for assessing physician activity using electronic health record log data |
title | Metrics for assessing physician activity using electronic health record log data |
title_full | Metrics for assessing physician activity using electronic health record log data |
title_fullStr | Metrics for assessing physician activity using electronic health record log data |
title_full_unstemmed | Metrics for assessing physician activity using electronic health record log data |
title_short | Metrics for assessing physician activity using electronic health record log data |
title_sort | metrics for assessing physician activity using electronic health record log data |
topic | Perspective |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7075531/ https://www.ncbi.nlm.nih.gov/pubmed/32027360 http://dx.doi.org/10.1093/jamia/ocz223 |
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