A medical plan reflectsthe current state of a region. The purpose of thisres earch isto analyze medical plansby text mining and examine geographical features using a geographic information system. From the medical plans of 47 prefectures, nationwide, 6 regional divisions', and four age groups' text fileswere prepared. Further, wordswere extracted and subsequently, their relevance wasanalyzed. Additionally, we examined the geographical featuresus ing a color-dividing Japanese map by the word appearance rate of"Mitori"(end-of-life care), which is an important task. In the aggregate nationwide text files, 214,716 words were extracted. The top frequent words were medical care, home, support, nursing care, visit, medical treatment, and cooperation. In the co-occurrence network, medical care- home- nursing care- cooperation were connected with organization- construction. There was a link between human resources- training in Kanto and Kinki."Mitori"frequently occurred in areaswith a high aging rate, and there wasa human resources- training- securing connection in areas with a low aging rate. The frequency of"Mitori"was high in western Japan. The results suggested that collaboration between medical care and nursing care is emphasized in medical planning. Further,"Mitori"was emphasized in western Japan or areas with a high aging rate while human resourcesdevelopment wasemphas ized in areaswith a low aging rate.