| Measuring clinical pathway adherence. | |
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MedLine Citation:
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PMID: 20696277 Owner: NLM Status: In-Process |
Abstract/OtherAbstract:
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As clinical pathway adoption continues worldwide, it is necessary to establish adherence measurement methods in order to understand the difficulties and results of implementation. Adherence measurement literature mostly provides binary measurements of adherence to guidelines regarding individual medical activities over patient groups. The resulting measurements are of limited value in view of the pathways actually followed by individual patients. We develop and test dynamic programming formulations for adherence measurement in clinical pathways--based on partially ordered data in medical records and pathway definitions. With these new methods at hand, we analyze clinical pathway adherence at the Cardiovascular Center of Maastricht University Medical Center. |
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Authors:
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Joris van de Klundert; Pascal Gorissen; Stef Zeemering |
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Publication Detail:
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Type: Journal Article Date: 2010-08-07 |
Journal Detail:
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Title: Journal of biomedical informatics Volume: 43 ISSN: 1532-0480 ISO Abbreviation: J Biomed Inform Publication Date: 2010 Dec |
Date Detail:
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Created Date: 2010-11-24 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 100970413 Medline TA: J Biomed Inform Country: United States |
Other Details:
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Languages: eng Pagination: 861-72 Citation Subset: IM |
Copyright Information:
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Copyright © 2010 Elsevier Inc. All rights reserved. |
Affiliation:
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Institute of Health Policy & Management, Erasmus Medical Centre, Rotterdam, The Netherlands. vandeklundert@bmg.eur.nl |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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