Document Detail

Evaluating a federated medical search engine: tailoring the methodology and reporting the evaluation outcomes.
MedLine Citation:
PMID:  25298813     Owner:  NLM     Status:  In-Data-Review    
BACKGROUND: Federated medical search engines are health information systems that provide a single access point to different types of information. Their efficiency as clinical decision support tools has been demonstrated through numerous evaluations. Despite their rigor, very few of these studies report holistic evaluations of medical search engines and even fewer base their evaluations on existing evaluation frameworks.
OBJECTIVES: To evaluate a federated medical search engine, MedSocket, for its potential net benefits in an established clinical setting.
METHODS: This study applied the Human, Organization, and Technology (HOT-fit) evaluation framework in order to evaluate MedSocket. The hierarchical structure of the HOT-factors allowed for identification of a combination of efficiency metrics. Human fit was evaluated through user satisfaction and patterns of system use; technology fit was evaluated through the measurements of time-on-task and the accuracy of the found answers; and organization fit was evaluated from the perspective of system fit to the existing organizational structure.
RESULTS: Evaluations produced mixed results and suggested several opportunities for system improvement. On average, participants were satisfied with MedSocket searches and confident in the accuracy of retrieved answers. However, MedSocket did not meet participants' expectations in terms of download speed, access to information, and relevance of the search results. These mixed results made it necessary to conclude that in the case of MedSocket, technology fit had a significant influence on the human and organization fit. Hence, improving technological capabilities of the system is critical before its net benefits can become noticeable.
CONCLUSIONS: The HOT-fit evaluation framework was instrumental in tailoring the methodology for conducting a comprehensive evaluation of the search engine. Such multidimensional evaluation of the search engine resulted in recommendations for system improvement.
D Saparova; J Belden; J Williams; B Richardson; K Schuster
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Publication Detail:
Type:  Journal Article     Date:  2014-08-13
Journal Detail:
Title:  Applied clinical informatics     Volume:  5     ISSN:  1869-0327     ISO Abbreviation:  Appl Clin Inform     Publication Date:  2014  
Date Detail:
Created Date:  2014-10-09     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101537732     Medline TA:  Appl Clin Inform     Country:  Germany    
Other Details:
Languages:  eng     Pagination:  731-45     Citation Subset:  IM    
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