A real-time computer model to assess resident work-hours scenarios

Area of Science:

• Medical Education
• Healthcare Administration
• Workforce Management

Background:

• Resident work hours are strictly regulated by the Accreditation Council for Graduate Medical Education (ACGME) and Residency Review Committee-Internal Medicine (RRC-IM).
• Accurate calculation of resident work hours is difficult, posing challenges for compliance.
• Previous methods for tracking work hours have proven insufficient for realistic assessment.

Purpose of the Study:

• To develop and validate an electronic model for accurately calculating resident work hours.
• To assess the feasibility of various scheduling scenarios for meeting RRC-IM work-hour limitations.
• To provide a tool for identifying and rectifying work-hour violations in residency programs.

Main Methods:

• An electronic model was developed using Microsoft Excel 97 to simulate resident work-hour scenarios.
• The model incorporated multiple parameters including call frequency, days off, and clinic schedules.
• Model accuracy was validated against actual work-hour logs in multiple clinical settings.

Main Results:

• The electronic model demonstrated high accuracy, with prediction errors as low as 0.6% in validation scenarios.
• The model confirmed that standard fourth-night call schedules with limited days off make RRC-IM compliance difficult.
• Proposed solutions like "golden weekends" and modified call schedules were shown to effectively reduce work hours.

Conclusions:

• The developed electronic model is a robust tool for accurately estimating resident work hours across diverse rotations.
• The model facilitates the testing of alternative scheduling strategies to meet RRC-IM requirements.
• This tool aids in dispelling misconceptions about work-hour solutions and implementing realistic changes to reduce resident work hours.