Document Detail


Capitalizing on knowledge for an adaptive user interface.
MedLine Citation:
PMID:  11604720     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Hypermedia data browsing is a mean for improving information access. However, the overload and the heterogeneity of medical information, as well as the multitude of possible navigational paths, turn the consultation of data into a difficult task. We present in this paper a solution for the development of adaptive user interfaces in a hypermedia data browsing environment. It is based on the capitalization of the users knowledge in the decision-making process, expressed in terms of navigational paths and of data presentation modes that are customized to the user's preferences. This capitalization offers the user a way to reuse the cumulative experiences in browsing through patient records. We illustrate our approach with the implementation of HEMA, a clinical workstation prototype.
Authors:
C Ghédira; P Maret; J Fayn; P Rubel
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Studies in health technology and informatics     Volume:  84     ISSN:  0926-9630     ISO Abbreviation:  Stud Health Technol Inform     Publication Date:  2001  
Date Detail:
Created Date:  2001-10-17     Completed Date:  2002-01-08     Revised Date:  2008-07-10    
Medline Journal Info:
Nlm Unique ID:  9214582     Medline TA:  Stud Health Technol Inform     Country:  Netherlands    
Other Details:
Languages:  eng     Pagination:  132-5     Citation Subset:  IM    
Affiliation:
Laboratoire d'Ingénierie des Systèmes d'Information (LISI), INSA, 69394 Lyon, France. fayn@insa.insa-lyon.fr
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MeSH Terms
Descriptor/Qualifier:
Humans
Hypermedia*
Medical Records Systems, Computerized*
Programming Languages
User-Computer Interface*

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


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