title: An expert system based preventive medicine examination adviser.
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.
authors.affiliation: Department of Medicine, University of California, Los Angeles 90024-7027, USA.
authors.forename: P
authors.initials: P
authors.lastname: Harber
authors.forename: K
authors.initials: K
authors.lastname: Czisny
authors.forename: P
authors.initials: P
authors.lastname: Hsu
authors.forename: E
authors.initials: E
authors.lastname: Rodriguez
authors.forename: J
authors.initials: J
authors.lastname: Beck
authors.forename: D
authors.initials: D
authors.lastname: Leaf
mesh_terms: D001185:Artificial Intelligence; D003625:Data Collection; D005103:Expert Systems; D006801:Humans; D016347:Medical Records Systems, Computerized; D009784:Occupational Diseases / Q000517:prevention & control; D009786:Occupational Health Services; D010348:Patient Care Team; D011314:Preventive Health Services; D012017:Referral and Consultation; D012307:Risk Factors; D012984:Software