Document Detail


Mapping computerized clinical guidelines to electronic medical records: knowledge-data ontological mapper (KDOM).
MedLine Citation:
PMID:  17574928     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Clinical guidelines recommend quality standards for patient care. Encoding guidelines in a computer-interpretable format and integrating them with an Electronic Medical Record (EMR) can enable delivery of patient-specific recommendations when and where needed. GLIF3 is a language for representing computer-interpretable guidelines (CIGs) and sharing them among healthcare institutions. Sharing a CIG necessitates mapping its data items to the institutional EMRs. We developed a framework called Knowledge-Data Ontological Mapper (KDOM) that enables bridging the gap from abstractions used in CIGs to specific EMRs. Briding the gap involves: (1) using an ontology of mappings, and an optional reference information model, to map an abstraction gradually into EMR codes, and (2) automatically creating SQL queries to retrieve the EMR data. We evaluated the KDOM framework by mapping a GLIF3-encoded guideline into two different EMR schemas and by using the mapping ontology to define mappings from 15 GLIF3 CIGs and one SAGE CIG into our reference information model.
Authors:
Mor Peleg; Sagi Keren; Yaron Denekamp
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Publication Detail:
Type:  Journal Article     Date:  2007-05-16
Journal Detail:
Title:  Journal of biomedical informatics     Volume:  41     ISSN:  1532-0480     ISO Abbreviation:  J Biomed Inform     Publication Date:  2008 Feb 
Date Detail:
Created Date:  2008-01-16     Completed Date:  2008-02-11     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  100970413     Medline TA:  J Biomed Inform     Country:  United States    
Other Details:
Languages:  eng     Pagination:  180-201     Citation Subset:  IM    
Affiliation:
Department of Management Information Systems, University of Haifa, Israel. morpeleg@mis.hevra.haifa.ac.il
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MeSH Terms
Descriptor/Qualifier:
Database Management Systems / standards*
Expert Systems*
Information Storage and Retrieval / methods*,  standards*
Israel
Medical Records Systems, Computerized / standards*
Practice Guidelines as Topic*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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