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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Main Authors: Couralet, Melanie, Leleu, Henri, Capuano, Frederic, Marcotte, Leah, Nitenberg, Gérard, Sicotte, Claude, Minvielle, Etienne
Format: Online
Language:English
Published: BMJ Publishing Group 2013
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3582043/
id pubmed-3582043
recordtype oai_dc
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 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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