Evaluation of the Medical Service Environment for a Second Medical Area Using Data Envelopment Analysis

抄録

Low birth rates and an aging society indicate that the aging population will continue to grow. Thus, medical services are of increasing importance. Under these circumstances, the administration has formulated regional medical vision by introducing a comprehensive nursing care security promotion law. This regional medical care initiative is considered a unit of secondary medicine where independent medical services are required. However, regional disparity exists. We focus on data envelopment analysis (DEA), which is an operational research method, and apply it to large-scale typing. Feature amount extraction is indispensable for the analysis of big data. DEA is not an average evaluation; however, because it evaluates a characteristic quantity, it is suitable for extracting feature quantity. In this research, to evaluate the health care provision capacity of the area, we first make a database of all areas using open data. We then conduct basic analysis using this information and statistically evaluate the second medical area. Using DEA, we obtain a reference set including 32 DMUs that are further clarified by their dependent sets. We show the process of acquiring the index to improve the medical services provided by a second medical area. It is possible for all second medical areas to improve medical services in the same way that shows how to aim for an effective second medical area.