Use of Simulation Software in Optimizing PACU Operations and Promoting Evidence-Based Practice Guidelines

Area of Science:

• Healthcare Management
• Operations Research
• Quality Improvement

Background:

• Rising healthcare costs necessitate innovative solutions for financial burden reduction.
• Hospitals aim to maintain or improve quality of care while cutting expenses.
• Costly delays in perioperative operations are a significant concern.

Purpose of the Study:

• To reduce financial burden by minimizing costly delays in perioperative operations.
• To enhance patient experience and hospital efficiency through improved patient flow.
• To identify and address system constraints within the perioperative pathway.

Main Methods:

• Quality improvement project utilizing lean methodology.
• Discrete event simulation to model patient flow in the recovery unit.
• Identification of bottlenecks to minimize service delays and enhance patient experience.

Main Results:

• Postanesthesia care unit recovery time identified as the primary system constraint using the Theory of Constraints.
• An average reduction of 5-8 minutes in recovery time can decrease operating room delays by over 20%.
• Improvement efforts focused on implementing evidence-based practices.

Conclusions:

• Simulation provides a safe and cost-effective method for testing changes.
• Optimizing physical design and operations is crucial for expansion hospital sites.
• The study demonstrated a viable strategy for improving perioperative efficiency and reducing costs.