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The acute abdomen in emergency with Hypercard.
A C Harvey1, P F Moodie, J E Reda
1Department of Medicine, University of Manitoba, Misericordia Hospital, Winnipeg.
Proceedings. Symposium on Computer Applications in Medical Care
|January 1, 1991
Summary
A Bayesian diagnostic program for acute abdominal pain saw increased utilization after being transferred from a mainframe to a personal computer. This technological shift improved its accessibility and use in clinical settings.
Area of Science:
- Medical Informatics
- Artificial Intelligence in Medicine
- Clinical Decision Support Systems
Background:
- Acute abdominal pain diagnosis presents challenges in clinical settings.
- Non-sequential Bayesian programs offer a structured approach to diagnostic reasoning.
- Early implementations were limited by mainframe accessibility.
Purpose of the Study:
- To develop a non-sequential Bayesian program for diagnosing acute abdominal pain.
- To assess the impact of transferring the program to a more accessible platform.
- To evaluate changes in program utilization after the transfer.
Main Methods:
- Development of a Bayesian diagnostic program on an Amdahl mainframe.
- Utilized a Texas Instrument remote terminal for program access.
- Re-platformed the program to a Macintosh SE/30 using HyperCard.
Main Results:
- The program was successfully transferred to a Macintosh SE/30.
- Program utilization increased significantly, from 15% to 44%.
- The transition to a personal computer enhanced user accessibility and engagement.
Conclusions:
- Transferring diagnostic programs to modern personal computers can dramatically increase utilization.
- Accessible technology is crucial for the effective implementation of clinical decision support systems.
- Bayesian diagnostic tools can be effectively adapted for improved clinical workflow.