| ANTEROCOD: Actuarial survival curves applied to medical coding support for chronic diseases. | |
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MedLine Citation:
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PMID: 21096565 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
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For the practitioner, choosing diagnosis codes is a non-intuitive operation. Mistakes are frequent, causing severe consequences on healthcare performance evaluation and funding. French physicians have to assign a code to all their activities and are frequently prone to these errors. Given that most of the time and particularly for chronic diseases indexed information is already available, we propose a tool named AnterOcod, in order to support the medical coding task. It suggests the list of most relevant plausible codes, predicted from the patient's earlier hospital stays, according to a set of previously utilized diagnosis codes. Our method applies the estimation of code reappearance rates, based on an equivalent approach to actuarial survival curves. Around 33% of the expected correct diagnosis codes were retrieved in this manner, after evaluating 998 discharge abstracts, significantly improving the coding task. |
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Authors:
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L Lecornu; C Le Guillou; F Le Saux; M Hubert; J Puentes; J M Cauvin |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference Volume: 1 ISSN: 1557-170X ISO Abbreviation: Conf Proc IEEE Eng Med Biol Soc Publication Date: 2010 |
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: 101243413 Medline TA: Conf Proc IEEE Eng Med Biol Soc Country: United States |
Other Details:
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Languages: eng Pagination: 1158-61 Citation Subset: IM |
Affiliation:
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Institut Telecom; Telecom Bretagne, UEB; Dpt Image et Traitement de l'Information, Brest, France. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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