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Selective patient enrollment: a tool for improved residency training.

B L Hainer, H B Curry

Journal of Medical Education

|November 1, 1982

Summary

This study demonstrates how selective patient enrollment and a computerized medical record system ensure equitable distribution of chronic disease patients among residents in a model family practice. This approach enhances resident training by providing diverse clinical experiences.

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Area of Science:

Medical Education
Health Services Research
Family Medicine

Background:

Model family practice units aim to provide comprehensive patient management experiences for residents.
Equitable distribution of patient panels, particularly those with chronic diseases, is crucial for resident training.
Demographic analysis of patient populations is essential for understanding practice representativeness.

Purpose of the Study:

To describe a system for selective patient enrollment in a model family practice unit.
To utilize a computerized problem-oriented medical record for equitable patient distribution.
To ensure residents gain experience with a full range of health problems.

Main Methods:

Selective enrollment of patients based on specific criteria.
Implementation of a computerized problem-oriented medical record system.
Analysis of patient demographics to influence health problem distribution among residents.
Monitoring resident workloads to adjust family assignments.
Systematic reallocation of patient families when residents complete training.

Main Results:

The system facilitates equitable distribution of families with chronic diseases to residents.
Demographic data helps align patient health problems with resident training needs.
Patient enrollment processes are responsive to resident and faculty feedback.
Planned reallocation ensures continuity of care and training opportunities.

Conclusions:

Selective patient enrollment and a computerized system effectively manage patient distribution in a model family practice.
This model enhances resident exposure to diverse health issues, improving training outcomes.
The system supports workload management and responsive adjustments to resident educational needs.

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