Comparative analysis of global hospital performance using multi-criteria decision making: A TOPSIS approach

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Authors: Kouroush Jenab
Cited by: 0

Abstract

This study presents a comprehensive evaluation of 20 leading hospitals across 10 countries using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. The analysis incorporates eight critical healthcare performance indicators: mortality rate, patient satisfaction, average wait time, readmission rate, cost per patient, staff-to-patient ratio, technology adoption, and infection control score. Results reveal that Apollo Chennai (India) achieved the highest TOPSIS score of 0.6487, followed by Massachusetts General Hospital (USA) at 0.5861 and Johns Hopkins Hospital (USA) at 0.5653. Country-level analysis indicates that India ranks first with an average score of 0.5975, followed by the United States (0.5416) and the United Kingdom (0.5137). Sensitivity analysis demonstrates the robustness of rankings across different weighting scenarios, with Apollo Chennai and Massachusetts General consistently performing well regardless of weighting emphasis. The study provides valuable insights for healthcare policymakers, hospital administrators, and patients seeking optimal care facilities, while demonstrating the efficacy of TOPSIS in healthcare performance assessment.

Fields of Study & Subjects

Multi-Criteria Decision Making Healthcare Quality and Management Patient Satisfaction in Healthcare

Publication details

Journal / source
Healthcare Engineering
Volume
2
Issue
2
Pages
101–108
Publication date
1 January 2026