Automatic Detecting Indicators for Quality of Health Information on the Web

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Journal titleInternational Journal of Medical Informatics
Pages575582; # of pages: 8
Subjecthealth education standards; information services standards; internet; software; quality control; normes de services d'information; internet; logiciel; contrôle de la qualité
AbstractObjectives - To automatically evaluate the quality of health information on the Internet, we presents a method for detecting indicators for quality of health information.Methods - An automatic indicator detection tool (AIDT) was developed in the following steps: (1) 18 initial technical criteria were chosen; (2) multiple measurable indicators were defined for each criterion; (3) these measurable indicators on the Web pages were automatically detected by a computer program; (4) the detectable indicators were selected for each criterion based on detection accuracy and occurrence frequency, and detecting criteria on Web pages; (5) AIDT was developed based on the detectable indicators and criteria. The efficiency of detection tool was measured by recall and precision of detecting criteria. The performance of AIDT was tested using three data sets.Results - AIDT with validated detectable indicators can reach 93% recall and 98% precision on these data sets. AIDT can automatically and correctly detect measurable criteria on Web pages.Conclusions - Automatic detecting indictors for quality of health information is feasible and effective. Using an automatic detecting tool is a promising method for identifying quality criteria of health information, and eventually it can be used to develop instruments for evaluating the quality of health Websites.
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AffiliationNRC Institute for Information Technology; National Research Council Canada
Peer reviewedNo
NRC number48549
NPARC number5765042
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Record identifier9e9e44e9-7d98-4ce9-adbc-2bac60f18e58
Record created2009-03-29
Record modified2016-05-09
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