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Metaheuristic Optimization for Hospital Sterilisation and Decontamination Services.
Thomas Davies1, Tracey J England2, Doris A Behrens3
1Cardiff University, School of Mathematics, United Kingdom.
Studies in Health Technology and Informatics
|August 8, 2025
Summary
Optimizing hospital sterilization unit staffing using mathematical modeling ensures efficient decontamination of surgical instruments. Tabu Search effectively determines optimal staff levels, improving efficiency and infection prevention.
Area of Science:
- Healthcare Operations Research
- Infection Prevention and Control
- Mathematical Modeling in Healthcare
Background:
- Hospital Sterilization and Decontamination Units (HSDUs) are crucial for preventing healthcare-associated infections through effective surgical instrument decontamination.
- Optimizing staffing in HSDUs is essential for balancing service demand, operational efficiency, and patient safety.
Purpose of the Study:
- To apply Discrete Event Simulation (DES) and Metaheuristic Optimization to determine optimal staffing levels in HSDUs.
- To identify staffing strategies that ensure at least 99% of surgical instruments are decontaminated within target times.
Main Methods:
- Development of a Discrete Event Simulation (DES) model for HSDU operations.
- Application of Greedy Heuristic and Tabu Search algorithms for staff scheduling optimization.
- Evaluation of algorithms based on performance targets, including decontamination timeliness.
Main Results:
- Tabu Search significantly outperformed the Greedy Heuristic in optimizing staffing levels.
- Both methods aimed to achieve the target of decontaminating at least 99% of items within the required timeframe.
- The study identified Tabu Search as a more reliable and efficient optimization method for HSDU staffing.
Conclusions:
- Metaheuristic optimization, particularly Tabu Search, offers an effective approach to optimize HSDU staffing.
- Efficient staffing in HSDUs is key to enhancing operational efficiency and reducing healthcare-associated infections.
- Further research should investigate the cost-effectiveness of optimized staffing models in HSDUs.
Keywords:
Discrete-Event SimulationMathematical ModellingOptimizationQuality Improvement in HealthcareMore Related Videos
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