User support functions implemented in hospital information systems often differ in various ways across hospitals. If new medical staff from another hospital (hereafter referred to as “new staff”) employ a user support function that operates differently from that of their previous hospital, it may become a risk factor for patient safety as a result of misunderstanding. Therefore, the authors proposed a method to gain a systematic understanding of the risks caused by the such differences. However, the method needed to compare user support functions between the previous and current hospital for each member of the new staff, so, practically it became more difficult to understand the risks as the number of new staff increased.

　Therefore, the present study proposed a new method to support improved understanding of such risks and judgment of the necessity of countermeasures based only on the implementation status of the user support function of the current hospital. This new method consists of the following three elements: (1) a framework for understanding the risks that may arise when new staff do not adequately recognize the user support functions of their current hospital; (2) a framework for judging the necessity of considering countermeasures for cases in which it is difficult for new staff to notice differences in user support functions between their previous and current hospital; and (3) a framework for systematically supporting the task of a risk reviewer to determine the necessity of countermeasures using (1) and (2). Aa a result of applying the new method to 6 types of user support functions presented at an academic conference, its practicality was suggested.

　The purpose of this study was to evaluate the accuracy of optimal MRI protocols using a Seq2seq with attention and ICD-10-based classification on the information provided in MRI examination request forms. A total of 6,831 contrast-enhanced brain MRI forms and 10,754 non-contrast-enhanced brain MRI forms were collected. Three methods were used to predict MRI protocols: (1) Seq2seq with attention, (2) ICD-10 code classification, and (3) the combination of these two methods. For the Seq2seq with attention, tokenization was performed using three methods: unigram, bigram, and morpheme. It was observed that, for both contrast-enhanced and non-contrast examinations, the highest complete coverage rate of the radiologist’s instructions was achieved using method (3) with bi-gram (60.35% and 66.16%, for contrast-enhanced and non-contrast-enhanced MRI, respectively). The respective rates were 51.67% and 54.66% for method (1) using bi-gram, and 1.64% and 39.46% for method (2). Because the complete coverage rate increased by 10-20% compared to the individual methods, it is thought that the combination of Seq2seq and ICD-10 codes was the most useful method for predicting optimal MRI protocols.

　Objective: To clarify the history, present state, and future plans of personal health record (PHR) services in Taiwan as a representative example, this discussion aims to contribute to the implementation and proliferation of PHR services in Japan.

　Methods: We utilized publicly available resources on the websites of Taiwanese government agencies.

　Results: Taiwan has been exploring the adoption and sharing of electronic health records (EHR) since 2003. However, the integration of EHR across medical institutions nationwide has faced considerable obstacles, including cost implications, privacy concerns, and other significant barriers. Consequently, the Taiwanese government has taken proactive measures to address these challenges by implementing a series of policies designed to incentivize the adoption of EHR. These policies have proven successful in overcoming many of the obstacles previously encountered. Furthermore, in 2014, the Taiwanese government introduced the My Health Bank system, which is now recognized as Taiwan's official PHR platform. This initiative was launched with the goal of helping citizens to gain a deeper understanding of their personal health status.

　Conclusion: The rapid development of digitalization of medical information in Taiwan can be largely attributed to the government's promotion of a balanced system of incentives and penalties as a national policy.

　With digitalization, the collection and accumulation of medical data is progressing. On the other hand, there are various limitations when using each data continuously in time and cross-sectionally from the perspective of data type. It is important to understand the status and issues regarding the continuity and usability of medical data collected and accumulated over the individual's life course, from pregnancy and birth to death, and to deepen consideration for future data utilization. In this study, we focused on events in the life course of individuals. The research scope is limited to those for which data is recorded, collected, and accumulated under the Japanese legal system or national policy, and are common to all citizens, and data that occurs due to specific illness, work-related accidents, and nursing care.

　The results were analyzed from the perspectives of (1) to store lifetime medical data in an analyzable form, (2) to link lifetime medical data on an individual axis, and (3) to permit the use of data for research purposes.

　While there are legal systems and national policies in place to collect medical data for each event, it became clear that there is several issues and constraints for continuous or cross-sectional utilization of lifelong medical data, such as identifiers for linking individual data and continuous data management.