ENHANCING HEALTHCARE EFFICIENCY AND PATIENT SATISFACTION USING MCDM AND GOAL PROGRAMMING

Resumen

This study examines the subject of healthcare resource optimization using Multi-Criteria Decision-Making (MCDM) and Goal Programming (GP). It aims to improve patient care, service quality, and resource allocation. The study demonstrates how GP was utilized to achieve a 15% decrease in costs, a 10% gain in patient happiness, and a 20% increase in patient throughput—thus balancing competing goals like cost reduction, service efficiency, and patient satisfaction. An additional positive outcome of the strategy was a 25% decrease in wait times, which greatly improved the overall experience for patients. We found that MCDM, and GP in particular, does a good job of overcoming the inherent trade-offs in healthcare, which is particularly important in settings like Indian hospitals, where resources are limited. It is believed that decision-making relies heavily on real-time data and that further study may be required to optimize healthcare procedures by revealing the dynamic nature of data integration and advanced methods for MCDM