Using Electronic Medical Records (EMRs) has a great possibility for rising physician's performance in their daily work which improves quality, safety and efficiency in healthcare that are slowly being adopted throughout the world. The adoption of EMRs as a new technology in healthcare system is an important issue which has to be scrutinized as well. In physician practices, the rate of EMRs adoption has been slow and restricted in spite of the cost savings through lower administrative costs and medical errors related to EMR systems. Hence, this research is conducted to identify, categorize, and analyze Meso-level dimension which introduced by [27], for the adoption of EMRs in the healthcare context. To collect data, Likert-based and pairwise questionnaires were designed and distributed among the public experts and physicians healthcare organizations. Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (F-TOPSIS) and Fuzzy Analytic Hierarchy Process (F-AHP) was applied involves in quantitative approach in the ranking and weighting of the factors presented in Meso-level dimension framework. As a result, in this study, we develop a Multi Criteria Decision Making (MCDM) framework for healthcare industry improvement and adoption of EMR. The purpose of ranking and weighting using the F-TOPSIS and F-AHP is to inspect which factors are most imperative in EMRs adoption among primary care physicians. Performing F-TOPSIS and F-AHP is as novelty methods in this study for identifying the critical factors of EMRs adoption to assist healthcare organizations specifically hospitals setting in pursuing their key users' behavior towards accepting of this new technology. We find that seven factors, namely time investment, screen/room, hybrid system, planning, resource training, workflow, and weight, are the most influential criteria and strongest drivers in the adoption of EMR in Malaysia's primary care setting.