| PSIP: An Overview of the Results and Clinical Implications. | |
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MedLine Citation:
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PMID: 21685604 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
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Adverse Drug Events (ADEs) are injuries due to medication management rather than the underlying condition of the patient. They endanger the patients and most of them could be avoided and prevented. The detection of ADEs usually relies on spontaneous reporting or medical chart reviews. The first objective of the PSIP Project is to automatically detect cases of ADEs by means of Data Mining, and to provide these cases to healthcare professionals. The second objective is to prevent ADEs by means of contextualised Clinical Decision Support Systems (Cx-CDSS) connected with Computerised Physician Order Entry (CPOE) or Electronic Health Record (EHR) systems. The detection of ADEs has been made possible through a set of rules able to identify relevant cases is a set of 92,000 medical cases. The results of this detection are provided through "ADE Scorecards". Contextualized Decision Support Systems have been developed by using the same set of rules and implemented in different software environments. The initial objectives of the PSIP project have been reached. The evaluation of the clinical impact has to be completed. |
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Authors:
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Régis Beuscart |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Studies in health technology and informatics Volume: 166 ISSN: 0926-9630 ISO Abbreviation: Stud Health Technol Inform Publication Date: 2011 |
Date Detail:
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Created Date: 2011-06-20 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9214582 Medline TA: Stud Health Technol Inform Country: Netherlands |
Other Details:
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Languages: eng Pagination: 3-12 Citation Subset: T |
Affiliation:
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CHU Lille, UDSL EA2694, Univ Lille Nord de France, F-59000 Lille, France. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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