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Iliad and Medical HouseCall: evaluating the impact of common sense knowledge on the diagnostic accuracy of a medical expert system

Authors

Bouhaddou O, Lambert JG, Morgan GE

Journal

Proc Annu Symp Comput Appl Med Care

Publication Date

1995

Pages

742-6

HIT Description: Computerized decision support with artificial intelligence. More info...
Purpose of Study: Assess the diagnostic accuracy of a computerized medical expert system.
Years of study: 1994-1995
Study Design: Case study w/concurrent control
Outcomes: Other outcome

Summary:

Settings: The study used 'textbook' cases for the evaluation.
Intervention: A refined knowledge base (1995) of a medical expert system with added universal and medical 'common sense' knowledge was compared to an older version (1994) 'pre-common sense'.
Evaluation Method: Measures of system performance and accuracy.
Description: The medical expert system used was ÒMedical HouseCallÓ, a consumer health information expert system based on a medical expert system for physicians, ÒIliadÓ.
Changes in efficiency and productivity: Between the 1994 and the 1995 versions, the irrelevancy score decrease from 21% to 5% (t statistic, p value: 6.027, 0.0001), and the proportion of correct diagnosis increased from 19% to 43% (t statistic, p value: 9.442, 0.0001).

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