Enhancing Clinical Governance: A Multi-Criteria Decision Support Approach for Physician Performance Evaluation

Abstract

High-quality healthcare services require an objective and measurable performance evaluation sys-team for medical personnel. Clinic and Laboratory X in Regency X, Central Java, has thus far as-sensed doctors’ performance solely based on the number of patients treated, which may lead to subjectivity. This study aims to design and implement a Decision Support System (DSS) using the Simple Additive Weighting (SAW) method to determine the best-performing doctor in a more fair and transparent manner.  The research methodology includes data collection through observation, interviews, and questionnaires, followed by the determination of criteria and alternatives, weighting, normalization, and ranking processes. Five evaluation criteria were employed: diagnostic accuracy, participation in training, efficiency in medication usage, clinical skills, and mentoring ability, with eight doctors serving as the alternatives. The calculation results indicate that Dr. LL and Dr. PP achieved the highest score of 63.75, followed by Dr. II, Dr. AA, and Dr. TT with a score of 57.5, while the lowest score of 45 was obtained by Dr. FF and Dr. KK. The implementation of the SAW method has proven effective in generating a more systematic, transparent, and measurable evaluation process, while also assisting management in identifying performance aspects that require improvement.