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Validity of electronic health record-derived quality measurement for performance monitoring

BACKGROUND: Since 2007, New York City's primary care information project has assisted over 3000 providers to adopt and use a prevention-oriented electronic health record (EHR). Participating practices were taught to re-adjust their workflows to use the EHR built-in population health monitoring...

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Autores principales: Parsons, Amanda, McCullough, Colleen, Wang, Jason, Shih, Sarah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Group 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3384112/
https://www.ncbi.nlm.nih.gov/pubmed/22249967
http://dx.doi.org/10.1136/amiajnl-2011-000557
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author Parsons, Amanda
McCullough, Colleen
Wang, Jason
Shih, Sarah
author_facet Parsons, Amanda
McCullough, Colleen
Wang, Jason
Shih, Sarah
author_sort Parsons, Amanda
collection PubMed
description BACKGROUND: Since 2007, New York City's primary care information project has assisted over 3000 providers to adopt and use a prevention-oriented electronic health record (EHR). Participating practices were taught to re-adjust their workflows to use the EHR built-in population health monitoring tools, including automated quality measures, patient registries and a clinical decision support system. Practices received a comprehensive suite of technical assistance, which included quality improvement, EHR customization and configuration, privacy and security training, and revenue cycle optimization. These services were aimed at helping providers understand how to use their EHR to track and improve the quality of care delivered to patients. MATERIALS AND METHODS: Retrospective electronic chart reviews of 4081 patient records across 57 practices were analyzed to determine the validity of EHR-derived quality measures and documented preventive services. RESULTS: Results from this study show that workflow and documentation habits have a profound impact on EHR-derived quality measures. Compared with the manual review of electronic charts, EHR-derived measures can undercount practice performance, with a disproportionately negative impact on the number of patients captured as receiving a clinical preventive service or meeting a recommended treatment goal. CONCLUSION: This study provides a cautionary note in using EHR-derived measurement for public reporting of provider performance or use for payment.
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spelling pubmed-33841122012-06-29 Validity of electronic health record-derived quality measurement for performance monitoring Parsons, Amanda McCullough, Colleen Wang, Jason Shih, Sarah J Am Med Inform Assoc Research and Applications BACKGROUND: Since 2007, New York City's primary care information project has assisted over 3000 providers to adopt and use a prevention-oriented electronic health record (EHR). Participating practices were taught to re-adjust their workflows to use the EHR built-in population health monitoring tools, including automated quality measures, patient registries and a clinical decision support system. Practices received a comprehensive suite of technical assistance, which included quality improvement, EHR customization and configuration, privacy and security training, and revenue cycle optimization. These services were aimed at helping providers understand how to use their EHR to track and improve the quality of care delivered to patients. MATERIALS AND METHODS: Retrospective electronic chart reviews of 4081 patient records across 57 practices were analyzed to determine the validity of EHR-derived quality measures and documented preventive services. RESULTS: Results from this study show that workflow and documentation habits have a profound impact on EHR-derived quality measures. Compared with the manual review of electronic charts, EHR-derived measures can undercount practice performance, with a disproportionately negative impact on the number of patients captured as receiving a clinical preventive service or meeting a recommended treatment goal. CONCLUSION: This study provides a cautionary note in using EHR-derived measurement for public reporting of provider performance or use for payment. BMJ Group 2012-01-16 2012 /pmc/articles/PMC3384112/ /pubmed/22249967 http://dx.doi.org/10.1136/amiajnl-2011-000557 Text en © 2012, Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions. This is an open-access article distributed under the terms of the Creative Commons Attribution Non-commercial License, which permits use, distribution, and reproduction in any medium, provided the original work is properly cited, the use is non commercial and is otherwise in compliance with the license. See: http://creativecommons.org/licenses/by-nc/2.0/ and http://creativecommons.org/licenses/by-nc/2.0/legalcode.
spellingShingle Research and Applications
Parsons, Amanda
McCullough, Colleen
Wang, Jason
Shih, Sarah
Validity of electronic health record-derived quality measurement for performance monitoring
title Validity of electronic health record-derived quality measurement for performance monitoring
title_full Validity of electronic health record-derived quality measurement for performance monitoring
title_fullStr Validity of electronic health record-derived quality measurement for performance monitoring
title_full_unstemmed Validity of electronic health record-derived quality measurement for performance monitoring
title_short Validity of electronic health record-derived quality measurement for performance monitoring
title_sort validity of electronic health record-derived quality measurement for performance monitoring
topic Research and Applications
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3384112/
https://www.ncbi.nlm.nih.gov/pubmed/22249967
http://dx.doi.org/10.1136/amiajnl-2011-000557
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