The transcription of vital sign measurements by nurses is not only a work burden for them, but also poses the risk of transcription errors and the inability of others to check data in real time. On the other hand, devices with NFC （Near Field Communication） functionality are becoming popular in vital measurement equipment, and Kyoto University Hospital has developed a Vital Data Terminal （VDT） system that automatically collects data using these devices. These systems were installed in 1,000 beds in the general ward when the hospital information system was updated in 2016, and nurses can also wear personal identification tags to know ``who,'' ``to whom,'' ``when, and ``what'' was measured. The purpose of this study was to verify the reduction of nursing workload by this system, and an actual questionnaire survey was conducted. Results showed that the VDT input rate increased from 23％ in 2016 to around 45％ in March 2021. The results for the 684 nurses who use VDTs, when asked ``Do you think the introduction of VDTs has reduced your workload?'' were: ``Very much'' （94 respondents, 19.6％）and ``Fairly much'' （244 respondents, 50.9％）. In conclusion, 70.3％ of the nurses felt that the VDT system reduced their workload, indicating that VDTs contribute to workload reduction.

　A huge amount of patient information has been accumulated from different hospitals in the Standardized Structured Medical Information eXchange version 2 (SS-MIX2) in Japan. Electronic Health Record (EHR) systems are expected to have more advanced functions to efficiently grasp a patient profile from the plenty of clinical data. It is also expected to correspond to the next-generation standard HL7 Fast Healthcare Interoperability Resources (FHIR). The International Patient Summary (IPS) is being formulated overseas for information sharing of patient summaries using HL7 FHIR. However, the IPS has not been established in Japan although the standardization of the Discharge Summary HL7 FHIR description specifications (DS) was authorized. This study aimed to develop an EHR application to show a summary of a patient according to the IPS and the DS using clinical data converted from SS-MIX2 to FHIR resources. Through the development of the application, we confirmed its feasibility and issues when using FHIR resources converted from SS-MIX2 standardized storage data.