A delay-scheduling model for patients using a walk-in clinic

Area of Science:

• Healthcare Operations Research
• Clinical Workflow Optimization
• Health Services Management

Background:

• Walk-in clinics face unpredictable patient volumes and variable service times, leading to congestion and extended patient wait times.
• Inefficient resource allocation in clinics can result in suboptimal physician utilization and decreased patient satisfaction.
• Managing unscheduled patient visits requires dynamic strategies to balance patient flow and provider availability.

Purpose of the Study:

• To determine the most efficient use of limited physician resources in walk-in clinics.
• To evaluate the impact of a flexible "delay scheduling" technique on clinic performance.
• To reduce patient waiting times and improve overall clinic operational efficiency.

Main Methods:

• A computer simulation model was developed to assess clinic performance under various physician staffing patterns and delay scheduling rules.
• The simulation model was validated using actual data from a walk-in clinic.
• Delay scheduling was implemented to shift workload from peak congestion periods without affecting the clinic's walk-in nature.

Main Results:

• The study demonstrated that delay scheduling effectively shifts workload, mitigating congestion.
• Implementation of delay scheduling and adjusted staffing led to a 10% reduction in required manpower.
• Clinic-accountable waiting time for patients was significantly reduced post-implementation.

Conclusions:

• Delay scheduling is an effective strategy for optimizing physician resource allocation in walk-in clinics.
• This approach enhances clinic efficiency by reducing patient wait times and manpower requirements.
• The findings support the adoption of flexible scheduling techniques in managing unscheduled patient care environments.