An efficiency-based multicriteria strategic planning model for ambulatory surgery centers

Area of Science:

• Healthcare Management
• Operations Research
• Health Economics

Background:

• Ambulatory surgery centers (ASCs) offer a cost-effective alternative to inpatient procedures.
• Anticipated healthcare reform will increase demand for services, particularly in ASCs.
• Strategic planning for procedure mix and volume is crucial for ASCs to capitalize on growth.

Purpose of the Study:

• To propose a decision model for optimizing the procedure mix in ASCs.
• To guide ASCs in adapting to increased demand and resource constraints.
• To balance financial goals with patient safety outcomes.

Main Methods:

• A two-stage, efficiency-based multicriteria decision model was developed.
• Stage one utilized Data Envelopment Analysis (DEA) to assess procedure efficiency (resources, revenue, complications).
• Stage two employed a bottleneck program to optimize procedure mix under operational constraints.

Main Results:

• The model provides a framework for identifying optimal procedure mixes.
• Efficiency scores were calculated based on resource utilization, revenue generation, and complication risks.
• The optimization process aims to maximize reimbursement while minimizing complications.

Conclusions:

• The proposed model offers a data-driven approach for ASCs to enhance operational efficiency.
• Optimizing procedure mix is essential for ASCs to thrive amidst increasing healthcare demand.
• The model effectively balances economic objectives with patient safety considerations.