Interstitial pneumonia (IP) is one of the serious adverse drug events. IP is mainly diagnosed by chest CT. Chest X-ray, KL-6 and SP-D are useful as adjuncts to the diagnosis. We developed a method that detects the occurrence of IP by using accumulated data in a hospital information system. Furthermore, we devised a method to detect drug-induced IP (DIP) from timing of administration of drug and occurrence or remission of interstitial pneumonia. IP was determined by the report of CT if CT has been done, otherwise it was determined by changing results of Chest X-ray, KL-6 and SP-D. DIP was determined by the pattern of IP before, during and after drug administration. We tried to detect DIP by amiodarone for validation of this method. The number of patients who suffered from amiodarone causing IP was 16(3.9%) including 1 definitive diagnosis (0.2%) and 15 strong doubt (3.6%). Therefore, it can be said that by using this method we could detect the occurrence of DIP from accumulated data in a hospital information system.

 The terminals for Hospital Information Systems (HIS) is required efficient arrangement to procure in a limited budget. We have collected the terminal log and application access log data from the electronic medical record system (EMR) and all other departmental systems (DS) operating with or without EMR, and have analyzed them using a novel technique to integrate different format data, in order to reveal the actual situation of terminal use. The number of terminals of the HIS of our hospital is 1,541 (desktop PC 975 and note PC 566). We have collected the access log data recorded in the EMR and DS from March 2015 to June 2015. The access log data are in different formats in each system. Therefore we have converted them into integrated data format and analyzed the usage of the terminal. As a result, we were able to obtain the power-on time of terminals and use time of EMR and DS and application uses. We have shown these results to the regular meeting of our HIS and were able to relocate 4 terminals. In the future, we have plans to continue to promote the efficient relocation of terminals including an alternative means as switching to a virtual desktop environment, and to use these novel information to support the terminal installation during HIS renewal.

 With use of an electronic medical record system and promotion of the clinical clerkship, new issues have occurred in clinical information management in bedside learning (BSL). The objective of this study is to clarify the present status and problems of BSL support systems in the National University Hospitals. We conducted a questionnaire survey inquired the following questions: how to practice the clinical clerkship, the education method for clinical information management, the method to let the students follow the rules in bedside learning, protection and educational use of patient records, the function and practical use of the BSL support system. The survey was carried out on January 24 to April 11 in 2014, and the response rate was 79%(33/42). From the analysis of the responses, it became clear that the philosophy of the clinical clerkship and the present status of it had been inconsistent in clinical information management in many National University Hospitals. Therefore, it should be argued nationwide about the future role of the BSL support system in a hospital information system.

 This study assessed time savings and staff perceptions of benefits of the introduction of a home-visiting nursing business support system for nursing documentation. Using a self-administered questionnaire, 84 nurses at 16 home-visiting nursing care stations in the Tokai region were asked to record the time spent on document creation, their perceptions about the effects of the new system, and demographic information. The system was introduced on April 2012. First, the time spent on document creation before the introduction of the system (December 2012-January 2013) was measured. Second, it was measured 8 months after the system was introduced (January 2014). For home-visiting nurses, the mean (median) time spent on documentation was reduced from 88.0 (60.0) min/day to 71.4 (60.0) min/day, i.e., a mean (median) time of 16.6 (5.0) min/day was saved (p=0.02). These findings suggest that the system reduces the time spent on document creation for home-visiting nurses, but the nurses’ perceptions about the effects of introducing the system were not always high. For the successful introduction of a home-visiting nursing business support system for home-visiting nursing, it is necessary to provide the staff with sufficient training and support and to minimize system problems.