Document Detail


HELEN, a modular framework for representing and implementing clinical practice guidelines.
MedLine Citation:
PMID:  15472756     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
OBJECTIVES: In order to implement clinical practice guidelines for the Department of Neonatology of the Heidelberg University Medical Center we developed a modular framework consisting of tools for authoring, browsing and executing encoded clinical practice guidelines (CPGs). METHODS: Based upon a comprehensive analysis of literature, we set up requirements for guideline representation systems. Additionally, we analyzed further aspects such as the critical appraisal and known bridges and barriers for implementing CPGs. Thereafter we went through an evolutionary spiral model to develop a comprehensive ontology. Within this model each cycle focuses on a certain topic of management and implementation of CPGs. RESULTS: In order to bring the resulting ontology into practice we developed a framework consisting of a tool for authoring, a server for web-based browsing, and an engine for the execution of certain elements of CPGs. Based upon this framework we encoded and implemented several CPGs in varying medical domains. CONCLUSIONS: This paper shall present a practical framework for both authors and implementers of CPGs. We have shown the fruitful combination of different knowledge representations such as narrative text and algorithm for implementing CPGs. Finally, we introduced a possible approach for the explicit adaptation of CPGs in order to provide institution-specific recommendations and to support sharing with other medical institutions.
Authors:
S Skonetzki; H-J Gausepohl; M van der Haak; S Knaebel; O Linderkamp; T Wetter
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Methods of information in medicine     Volume:  43     ISSN:  0026-1270     ISO Abbreviation:  Methods Inf Med     Publication Date:  2004  
Date Detail:
Created Date:  2004-10-08     Completed Date:  2004-12-22     Revised Date:  2007-11-15    
Medline Journal Info:
Nlm Unique ID:  0210453     Medline TA:  Methods Inf Med     Country:  Germany    
Other Details:
Languages:  eng     Pagination:  413-26     Citation Subset:  IM    
Affiliation:
Department of Medical Informatics, Heidelberg University Medical Center, Germany. stefan_skonetzki@med.uni-heidelberg.de
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MeSH Terms
Descriptor/Qualifier:
Academic Medical Centers
Algorithms
Artificial Intelligence*
Database Management Systems*
Decision Support Systems, Clinical
Evidence-Based Medicine
Germany
Humans
Information Dissemination
Information Storage and Retrieval
Internet
Medical Informatics Applications
Practice Guidelines as Topic*
Software

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


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