Computer-based problem-solving is fast becoming the accepted paradigm for testing students and practitioners on national and specialty board examinations. Computer-based learning of diagnostic skill has not yet reached the same level of acceptance. A microcomputer-based expert system (iliad) has been developed to model the way experts in each medical subspecialty form hypotheses and decide which data to acquire at each stage of a patient workup. The impact of this system on the problem-solving ability of medical students during their clerkship on the medical service o the three teaching hospitals of the University of Utah will be evaluated by comparing each student's performance as cases they have and have not worked up as simulations using Iliad.

Agency
National Institute of Health (NIH)
Institute
National Library of Medicine (NLM)
Type
Research Project (R01)
Project #
5R01LM005202-02
Application #
3374274
Study Section
Biomedical Library and Informatics Review Committee (BLR)
Project Start
1991-05-01
Project End
1994-04-30
Budget Start
1992-05-01
Budget End
1994-04-30
Support Year
2
Fiscal Year
1992
Total Cost
Indirect Cost
Name
University of Utah
Department
Type
Schools of Medicine
DUNS #
City
Salt Lake City
State
UT
Country
United States
Zip Code
84112
Lincoln, M J; Turner, C W; Haug, P J et al. (1992) Iliad's role in the generalization of learning across a medical domain. Proc Annu Symp Comput Appl Med Care :174-8