The authors constructed a new system to visualize the epidemic status of influenza infection on a map using the school districts of Yokohama Municipal Junior High School. In these districts, all facilities that reported the outbreak of influenza are included, thus it is necessary to identify and aggregate the totals of each school district concerned. The ‘‘Infectious Disease Epidemic Reporting System’’ (the new registration system), which customized the existing registration system, has a mechanism that deals with multiple reports in the same week at each facility by the automatic sequential addition, and constructs information in time series. In addition, mapping and graphing of the number of patients reported per fixed point as well as information of the Regional Comprehensive Support Center are to be unitarily visualized from the specification. The concept of a community-based care system assumes that the area of daily life is a junior high school district. By transmitting this information, it is possible that it will make it easier to better understand the status of the epidemic in each region and lead to a greater awareness of the prevention of infection.

　The national cancer registration project that began in January 2016 requires medical institutions to submit medical cases and makes it possible to collect what would be universal information on cancer. However, such medical institutions have a hard time being efficient in finding registered cancer cases in many outpatients and admitted patients that they have. Therefore, this research developed the statistical model that discriminates registered cancer cases in clinical data from several institutions and evaluated its discrimination abilities. The discrimination model, developed based on retrievable data from a medical accounting system, had AUC of 0.953. The discrimination ability (95％ confidence interval) of the model using evaluation datasets had a 92.0％ (90.5％-93.3％) sensitivity and an 89.1％ (88.7％-89.6％) specificity with accuracy. It excluded 82.2％ of cases that are subject to a search for cancer registration. This discrimination model can be used in many hospitals that provide healthcare services through insurance and has the potential to increase efficiency in operations related to registered cancer case searches.

　It has been pointed out that when medical information written in conformity with a specific information model is converted to another information model, information loss or malformation usually occurs. Fast Healthcare Interoperability Resources (FHIR) adopts the different design scheme from that of Clinical Document Architecture (CDA) and expresses medical information by combining resources, which are modularized components. The FHIR developer claims that the FHIR can be the successor standard to HL7 2.x and CDA, and that we can convert legacy data while inheriting the characteristics of these standards, and that yet it can benefit from modern information technology. We verified this assertion through the porting of CDA-based discharge summary to FHIR. As far as this verification is concerned, it was confirmed that CDA document information could be ported to documents composed of FHIR resources with almost no information loss. Also, by being conscious of profile compliance, it is expected to promote the restructuring of internal information model in electronic medical records system and becomes a driving force for mutual information sharing between different healthcare settings.

　Abstract: In this paper, we report about the attitude survey on medical information for 10 years of general citizens in Japan. Ten years ago, we conducted a survey on handling of medical information for Japanese. The purpose of this survey was to clarify the awareness of citizens as to how desirable to handling for medical information that is progressing digitized. Compared to the 10 years ago, the various environments surrounding current medical information are changing drastically. For example, introduction of electronic medical record system and application of AI to medical field are considered. Among these changes, we conducted the same survey again to confirmed changes in awareness of citizens’ medical information. As a result of the survey, it was confirmed that awareness of added value for large-scale data and awareness for sensitive information were improved compared to 10 years ago. Based on such changes in consciousness, it is considered necessary to further improve the condentiality, integrity, and availability of medical information in promoting medical IT in the future. At the same time, in promoting IT in medical industry in the future, we expect that it will be taken into consideration so as not to deviate from the general public’s awareness.