In this research, we developed a systematic procedure to identify decision-making criteria/performance indicators and a quantitative model to evaluate and compare the performance of medical technologies in Taiwan hospitals. Accordingly, Multi-Criteria Decision Analysis (MCDA) and Data Envelopment Analysis (DEA) were used complementarily. The aim of developing such a modeling approach is intended to help hospital executives (1) evaluate and choose new medical technologies (ex-ante evaluation), and (2) monitor and improve the performance of existing technologies (ex-post evaluation). An empirical application has been conducted to explore and test the feasibility and applicability of the model.