Appointment scheduling in multi-stage outpatient clinics.

Area of Science:

• Healthcare Management
• Operations Research
• Health Services Research

Background:

• Healthcare systems face increasing demand, necessitating efficient capacity management.
• Mid-level service providers (MLSPs), such as physician assistants and nurse practitioners, offer a scalable solution to augment physician capacity.
• Outpatient clinics often operate as single-stage systems, which may not be optimal for complex patient care pathways.

Purpose of the Study:

• To determine the optimal conditions for integrating MLSPs into single-physician outpatient offices.
• To adapt scheduling policies from single-stage systems for effective multi-stage healthcare delivery.
• To evaluate the impact of MLSP integration on patient experience and clinic operations.

Main Methods:

• A simulation optimization approach was employed to develop appointment scheduling rules.
• The study compared a multi-stage system with MLSPs to a traditional single-stage physician-only system.
• Performance measures included patient waiting time, patient flow time, and physician service time.

Main Results:

• Integrating MLSPs significantly reduced patient waiting and flow times.
• Physician service time with patients decreased, allowing for increased patient volume or reallocation of physician tasks.
• The multi-stage system with MLSPs demonstrated improved overall clinic efficiency compared to the single-stage model.

Conclusions:

• Adding MLSPs is a cost-effective strategy for enhancing outpatient clinic capacity and quality of care.
• Optimized scheduling policies are crucial for maximizing the benefits of multi-stage service delivery in clinics.
• MLSP integration supports a more efficient and patient-centered healthcare model.