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1.
Stud Health Technol Inform ; 205: 156-60, 2014.
Article in English | MEDLINE | ID: mdl-25160165

ABSTRACT

Linking interface terminologies (IT) to reference terminologies (RT) in flow of terminologies may allow health information system to be both usable and interoperable. Two French university hospitals worked independently on such a flow from the prescription of lab-test to the display of the corresponding results. The aim of this study was to evaluate the transmission of information in these two hospitals communication. An expert, supported by natural language processing tool, created the gold standard link between the 2 prescription ITs i.e. the terms that share the same meaning. A semantic pathway was defined to allow the mapping of one prescription IT to the other, through LOINC® and SNOMED®, the RT chosen by each hospital, respectively. The capacity of the semantic pathway to identify the correct links was computed. The expert found 218 links between the 2 prescription ITs (containing 580 and 374 terms that are linked to RT). The semantic pathway correctly identifies 96 of these links (44.0% [37.4-50.6]). The recall was not as good as expected, even though the semantic pathway was created in order to maximize it. Using different RT in different hospitals is not an efficient solution. The use of LOINC® seems to be preferable as a RT for prescription.


Subject(s)
Clinical Laboratory Information Systems/organization & administration , Electronic Health Records/organization & administration , Information Storage and Retrieval/methods , Medical Record Linkage/methods , Natural Language Processing , Semantics , Terminology as Topic , Electronic Prescribing , Forms and Records Control/organization & administration , France , Interinstitutional Relations
2.
Stud Health Technol Inform ; 180: 1224-6, 2012.
Article in English | MEDLINE | ID: mdl-22874408

ABSTRACT

In this paper we present an application of pharmaceutical validation of medication based on an OWL ontology and business rules or more specifically clinical decision rules. This application has been developed based on a prototype that enables business users to author, execute and manage their Business Rules over OWL Ontology. This prototype is based on the Business Rule Management System (BRMS) IBM WebSphere ILOG JRules.


Subject(s)
Algorithms , Decision Support Systems, Clinical , Decision Support Techniques , Electronic Prescribing , Medical Order Entry Systems , Medication Systems, Hospital , France
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