An expert system based preventive medicine examination adviser

Philip I Harber, K. Czisny, P. Hsu, E. Rodriguez, J. Beck, D. 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-basal 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 / American College of Occupational and Environmental Medicine
Volume37
Issue number5
DOIs
StatePublished - 1995
Externally publishedYes

Fingerprint

Expert Systems
Preventive Medicine
Artificial Intelligence
Physicians
Patient Selection
Counseling
Referral and Consultation

ASJC Scopus subject areas

  • Public Health, Environmental and Occupational Health
  • Health, Toxicology and Mutagenesis

Cite this

An expert system based preventive medicine examination adviser. / Harber, Philip I; Czisny, K.; Hsu, P.; Rodriguez, E.; Beck, J.; Leaf, D.

In: Journal of occupational and environmental medicine / American College of Occupational and Environmental Medicine, Vol. 37, No. 5, 1995, p. 563-570.

Research output: Contribution to journalArticle

@article{8fe372c0e57a4dc7815e0d5f08f28d92,
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-basal 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.",
author = "Harber, {Philip I} and K. Czisny and P. Hsu and E. Rodriguez and J. Beck and D. Leaf",
year = "1995",
doi = "10.1097/00043764-199505000-00003",
language = "English (US)",
volume = "37",
pages = "563--570",
journal = "Journal of Occupational and Environmental Medicine",
issn = "1076-2752",
publisher = "Lippincott Williams and Wilkins",
number = "5",

}

TY - JOUR

T1 - An expert system based preventive medicine examination adviser

AU - Harber, Philip I

AU - Czisny, K.

AU - Hsu, P.

AU - Rodriguez, E.

AU - Beck, J.

AU - Leaf, D.

PY - 1995

Y1 - 1995

N2 - 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-basal 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.

AB - 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-basal 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.

UR - http://www.scopus.com/inward/record.url?scp=0029073766&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0029073766&partnerID=8YFLogxK

U2 - 10.1097/00043764-199505000-00003

DO - 10.1097/00043764-199505000-00003

M3 - Article

VL - 37

SP - 563

EP - 570

JO - Journal of Occupational and Environmental Medicine

JF - Journal of Occupational and Environmental Medicine

SN - 1076-2752

IS - 5

ER -