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Knowledge-based scheduling of duty rosters for physicians

L Gierl¹, B Pollwein, G Heyde

¹Data Processing Centre, Medical School, University of Munich, Germany.

Medical Informatics = Medecine Et Informatique

|October 1, 1993

Summary

Artificial intelligence can create fair hospital duty rosters. This system reduces user work time and ensures equitable physician schedules.

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Area of Science:

Medical Informatics
Artificial Intelligence in Healthcare
Resource Allocation

Background:

Applications of artificial intelligence (AI) in medicine, particularly for common sense reasoning, are infrequent.
Resource allocation problems, especially those involving fairness in hospital settings, present unique challenges.

Purpose of the Study:

To develop and evaluate an AI-driven system for constructing fair duty rosters in a medical environment.
To address fairness considerations in the everyday operational challenges of a hospital.

Main Methods:

Development of a fairness reasoning machine integrated into the expert system PEP.
Elicitation and generalization of knowledge pertaining to fairness among physicians.
Routine use of the PEP system for duty roster construction.

Main Results:

Significant reduction in user work time when utilizing the PEP system.
Demonstrated 'fair' long-term allocation of physicians within the generated duty rosters.
Successful implementation of AI for practical hospital resource management.

Conclusions:

The developed fairness reasoning machine effectively automates and optimizes duty roster creation.
AI-powered solutions can enhance fairness and efficiency in medical resource allocation.
The PEP system provides a practical and beneficial tool for hospital administration.

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