The Research Of The Model Of Medical Associations In Chongqing

Objective:To explore collaboration between medical institutions longitudinal theory mechanism, and to promote the improvement and development of the health care system reform, and provide theoretical support and policy advice, this paper takes the Second Affiliated Hospital of Chongqing Medical University for an example, and tries to explore the current situation to assess their medical practice by the medical associations model, analyzes the characteristics, collaborative service process and the results of the integration of medical resources under the consortium model.Method:Based on the empirical research, this study uses the qualitative research methods,supplemented by literature research for pattern analysis.A self-designed questionnaire was used to build qualitative interviews with the relevant personnel in the sample of hospital. This study surveyed institutions information form, and analysis the results by collecting the related policy documents.Results:Based on the survey results, the main achievements that medical association of the Second Affiliated Hospital of Chongqing Medical University has achieved as followed:Hospital’s characteristics of assist measures received the initial success, and clinics level of county hospitals has increased. From 2012 to 2014, the service capabilities and the efficiency of medical of mandated hospitals have been significantly enhanced. There is a substantial increase in income of these 4 hospitals.The doctors’and patients’satisfaction of the hospitals also have been improved. The inadequacies of the medical association are that:The two-way referral system needs to improve and the collaboration of medical associations remains to be improved. Policy Recommendations:First, to further improve the two-way referral system; second, guide the orderly flow of patients through the health insurance policy;third, strengthen the association between medical institutions of medical collaboration, and lays the foundation for pattern classification diagnosis and treatment.