Method for developing national quality indicators based on manual data extraction from medical records
Developing quality indicators (QI) for national purposes (eg, public disclosure, paying-for-performance) highlights the need to find accessible and reliable data sources for collecting standardised data. The most accurate and reliable data source for collecting clinical and organisational informatio...
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Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3582043/ |
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pubmed-35820432013-03-01 Method for developing national quality indicators based on manual data extraction from medical records Couralet, Melanie Leleu, Henri Capuano, Frederic Marcotte, Leah Nitenberg, Gérard Sicotte, Claude Minvielle, Etienne Research and Reporting Methodology Developing quality indicators (QI) for national purposes (eg, public disclosure, paying-for-performance) highlights the need to find accessible and reliable data sources for collecting standardised data. The most accurate and reliable data source for collecting clinical and organisational information still remains the medical record. Data collection from electronic medical records (EMR) would be far less burdensome than from paper medical records (PMR). However, the development of EMRs is costly and has suffered from low rates of adoption and barriers of usability even in developed countries. Currently, methods for producing national QIs based on the medical record rely on manual extraction from PMRs. BMJ Publishing Group 2013-02 2012-09-26 /pmc/articles/PMC3582043/ /pubmed/23015098 http://dx.doi.org/10.1136/bmjqs-2012-001170 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 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/3.0/ and http://creativecommons.org/licenses/by-nc/3.0/legalcode |
repository_type |
Open Access Journal |
institution_category |
Foreign Institution |
institution |
US National Center for Biotechnology Information |
building |
NCBI PubMed |
collection |
Online Access |
language |
English |
format |
Online |
author |
Couralet, Melanie Leleu, Henri Capuano, Frederic Marcotte, Leah Nitenberg, Gérard Sicotte, Claude Minvielle, Etienne |
spellingShingle |
Couralet, Melanie Leleu, Henri Capuano, Frederic Marcotte, Leah Nitenberg, Gérard Sicotte, Claude Minvielle, Etienne Method for developing national quality indicators based on manual data extraction from medical records |
author_facet |
Couralet, Melanie Leleu, Henri Capuano, Frederic Marcotte, Leah Nitenberg, Gérard Sicotte, Claude Minvielle, Etienne |
author_sort |
Couralet, Melanie |
title |
Method for developing national quality indicators based on manual data extraction from medical records |
title_short |
Method for developing national quality indicators based on manual data extraction from medical records |
title_full |
Method for developing national quality indicators based on manual data extraction from medical records |
title_fullStr |
Method for developing national quality indicators based on manual data extraction from medical records |
title_full_unstemmed |
Method for developing national quality indicators based on manual data extraction from medical records |
title_sort |
method for developing national quality indicators based on manual data extraction from medical records |
description |
Developing quality indicators (QI) for national purposes (eg, public disclosure, paying-for-performance) highlights the need to find accessible and reliable data sources for collecting standardised data. The most accurate and reliable data source for collecting clinical and organisational information still remains the medical record. Data collection from electronic medical records (EMR) would be far less burdensome than from paper medical records (PMR). However, the development of EMRs is costly and has suffered from low rates of adoption and barriers of usability even in developed countries. Currently, methods for producing national QIs based on the medical record rely on manual extraction from PMRs. |
publisher |
BMJ Publishing Group |
publishDate |
2013 |
url |
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3582043/ |
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1611957522690736128 |