An expert system based preventive medicine examination adviser

Philip Harber, Kenneth Czisny, Paul Hsu, Ensor Rodriguez, John Beck, David Leaf

Research output: Contribution to journalArticle

Abstract

Periodic preventive medicine examinations generally rely on a standardized approach. In addition, they are often performed by physicians with only limited training in preventive medicine. Evaluation of a corporate-based program led to the prototype development of an artificial intelligence (AI)-based expert system to collect information from employees and make very specific recommendations for primary practitioners. Unique features include the customizing of questions for each subject and the selection of information to be acquired, both based on answers to previous questions. Recommendations are highly person specific and fall into four categories: Laboratory testing, primary physician testing, counseling and referral. The AI approach allows for easy updating of recommendations in order to meet changes in local preventive resources and national recommendations.

Original languageEnglish (US)
Pages (from-to)563-570
Number of pages8
JournalJournal of occupational and environmental medicine
Volume37
Issue number5
DOIs
StatePublished - May 1995

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ASJC Scopus subject areas

  • Public Health, Environmental and Occupational Health

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