| Three different cases of exploiting decision support services for adverse drug event prevention. | |
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MedLine Citation:
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PMID: 21685623 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
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Clinical Decision Support Systems (CDSSs) are implemented in clinical settings in order to improve patient outcomes and/or clinical practices. However, they are still not widely accepted by healthcare professionals due to over-alerting. The aim of the "Patient Safety through Intelligent Procedures in medication" (PSIP) project is to develop and demonstrate innovative tools so as to generate and provide relevant knowledge to healthcare professionals and patients for Adverse Drug Event (ADE) prevention by means of Information and Communication Technologies (ICT). PSIP employs a Knowledge Base (KB) as the core of its CDSS. This KB encapsulates signals capable of automatically detecting potential ADEs and contextualizing the CDSS output to the patient and healthcare professionals. To exploit the KB, a Global Knowledge Platform (GKP) has been created comprising of a KB system, a Connectivity Platform and appropriate user interface modules. The GKP has been tested to demonstrate integration of the KB in different work situations and it has been deployed in three different medical applications. The first is a Web application; the second involves a commercial French EHR (Electronic Health Record) and the third is a Danish CPOE (Computerised Physician Order Entry) system. This paper presents recent progress as regards the exploitation of the PSIP KB and the results obtained in the three different medical applications. |
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Authors:
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Stéphanie Bernonille; Julie Nies; Henrik Gliese Pedersen; Bertrand Guillot; Mostafa Maazi; Anna-Lis Berg; Jean-Charles Sarfati; Vassilis Koutkias |
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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: 180-8 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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