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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3582043/ https://www.ncbi.nlm.nih.gov/pubmed/23015098 http://dx.doi.org/10.1136/bmjqs-2012-001170 |
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author | Couralet, Melanie Leleu, Henri Capuano, Frederic Marcotte, Leah Nitenberg, Gérard Sicotte, Claude Minvielle, Etienne |
author_facet | Couralet, Melanie Leleu, Henri Capuano, Frederic Marcotte, Leah Nitenberg, Gérard Sicotte, Claude Minvielle, Etienne |
author_sort | Couralet, Melanie |
collection | PubMed |
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. We propose and illustrate such a method. These QIs display feasibility, reliability and discriminative power, and can be used to compare hospitals. They have been implemented nationwide in France since 2006. The method used to develop these QIs could be adapted for use in large-scale programmes of hospital regulation in other, including developing, countries. |
format | Online Article Text |
id | pubmed-3582043 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | 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 BMJ Qual Saf 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. We propose and illustrate such a method. These QIs display feasibility, reliability and discriminative power, and can be used to compare hospitals. They have been implemented nationwide in France since 2006. The method used to develop these QIs could be adapted for use in large-scale programmes of hospital regulation in other, including developing, countries. 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 |
spellingShingle | Research and Reporting Methodology 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 |
title | 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_short | 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 |
topic | Research and Reporting Methodology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3582043/ https://www.ncbi.nlm.nih.gov/pubmed/23015098 http://dx.doi.org/10.1136/bmjqs-2012-001170 |
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