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e-Measures: insight into the challenges and opportunities of automating publicly reported quality measures
Using electronic health records (EHR) to automate publicly reported quality measures is receiving increasing attention and is one of the promises of EHR implementation. Kaiser Permanente has fully or partly automated six of 13 the joint commission measure sets. We describe our experience with automa...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3912717/ https://www.ncbi.nlm.nih.gov/pubmed/23831833 http://dx.doi.org/10.1136/amiajnl-2013-001789 |
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author | Garrido, Terhilda Kumar, Sudheen Lekas, John Lindberg, Mark Kadiyala, Dhanyaja Whippy, Alan Crawford, Barbara Weissberg, Jed |
author_facet | Garrido, Terhilda Kumar, Sudheen Lekas, John Lindberg, Mark Kadiyala, Dhanyaja Whippy, Alan Crawford, Barbara Weissberg, Jed |
author_sort | Garrido, Terhilda |
collection | PubMed |
description | Using electronic health records (EHR) to automate publicly reported quality measures is receiving increasing attention and is one of the promises of EHR implementation. Kaiser Permanente has fully or partly automated six of 13 the joint commission measure sets. We describe our experience with automation and the resulting time savings: a reduction by approximately 50% of abstractor time required for one measure set alone (surgical care improvement project). However, our experience illustrates the gap between the current and desired states of automated public quality reporting, which has important implications for measure developers, accrediting entities, EHR vendors, public/private payers, and government. |
format | Online Article Text |
id | pubmed-3912717 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-39127172014-02-04 e-Measures: insight into the challenges and opportunities of automating publicly reported quality measures Garrido, Terhilda Kumar, Sudheen Lekas, John Lindberg, Mark Kadiyala, Dhanyaja Whippy, Alan Crawford, Barbara Weissberg, Jed J Am Med Inform Assoc Case Report Using electronic health records (EHR) to automate publicly reported quality measures is receiving increasing attention and is one of the promises of EHR implementation. Kaiser Permanente has fully or partly automated six of 13 the joint commission measure sets. We describe our experience with automation and the resulting time savings: a reduction by approximately 50% of abstractor time required for one measure set alone (surgical care improvement project). However, our experience illustrates the gap between the current and desired states of automated public quality reporting, which has important implications for measure developers, accrediting entities, EHR vendors, public/private payers, and government. BMJ Publishing Group 2014-01 2013-07-05 /pmc/articles/PMC3912717/ /pubmed/23831833 http://dx.doi.org/10.1136/amiajnl-2013-001789 Text en 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 in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 3.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/3.0/ |
spellingShingle | Case Report Garrido, Terhilda Kumar, Sudheen Lekas, John Lindberg, Mark Kadiyala, Dhanyaja Whippy, Alan Crawford, Barbara Weissberg, Jed e-Measures: insight into the challenges and opportunities of automating publicly reported quality measures |
title | e-Measures: insight into the challenges and opportunities of automating publicly reported quality measures |
title_full | e-Measures: insight into the challenges and opportunities of automating publicly reported quality measures |
title_fullStr | e-Measures: insight into the challenges and opportunities of automating publicly reported quality measures |
title_full_unstemmed | e-Measures: insight into the challenges and opportunities of automating publicly reported quality measures |
title_short | e-Measures: insight into the challenges and opportunities of automating publicly reported quality measures |
title_sort | e-measures: insight into the challenges and opportunities of automating publicly reported quality measures |
topic | Case Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3912717/ https://www.ncbi.nlm.nih.gov/pubmed/23831833 http://dx.doi.org/10.1136/amiajnl-2013-001789 |
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