Severe damage is predicted to occur in the near future due to an inevitable Nankai Trough earthquake. The Nankai Trough earthquake will occur with 80％ probability within 30 years. Medical institutions will likely be seriously damaged by this earthquake. We developed a damage prediction and rescue plans to dispatch the Disaster Medical Assistant Team (DMAT)^1,2). Patients in hospital and clinic care need special consideration for transportation and evacuation, especially those with limited mobility. However, to date no analysis has been performed examining evacuation and transportation of patients in care facilities. It have become clear that care facilities account for about 20% of the number of beds in medical institutions that are expected to be damaged. It has been found that the ratio of damaged beds estimated to exceed 40％ in eight prefectures, and in these prefectures, it is necessary to transport patients from affected areas across long distances. Care facility planning is progressing through the medical reform policy set by the Ministry of Health, Labor and Welfare, but it is necessary to track of care facilities and plan evacuation measures.

　Japan has been evaluated by international organizations that it has offered high-quality medical services with a relatively small total medical cost so far. As the world’s first super-aging society, Japan ranks 7th in healthcare spending per gross domestic product and 15th in healthcare spending per capita among the Organisation for Economic Co-operation and Development (OECD) countries. However, the number of international statistical indicators in the field of health care submitted by Japan continues to be less than in OECD countries. In April 2009, Japan’s Ministry of Health, Labour and Welfare (MHLW) began collecting medical treatment record data in the National Database of Health Insurance Claims and Specific Health Checkups of Japan (NDB). The NDB encompasses medical treatment information for over 100 million individuals in the Japanese population covered under the universal health insurance system. In this report, we will present on the newly created international statistical indicators that Japan had not submitted this time by utilizing NDB and the result of international comparison.

　In this study, ICT tools were used to investigate the contact time between patients and nurses longitudinally. The subjects were 40 patients admitted to hospital A. The purpose of this study was to clarify the characteristics and relationships of the 3 variables “contact time of the day”, “contact time of the next day”, and “change in contact time”. In the analysis, descriptive statistics were calculated, and the relationship between variables was analyzed by univariate regression analysis. As a result, it was suggested that the distribution of “change in contact time” shows a normal distribution and is suitable for the objective variable in the general linear model. In the regression analysis, the odds ratio was 1.05 in a univariate logistic regression analysis that predicts “contact time of the next day” by “contact time of the day”. In addition, the rate of explanation was 30％ in a single regression analysis that predicts “change in contact time” by “contact time of the day”. From the result, it was indicated that the contact time of the day was an important element for predicting the change of contact time and contact time of the next day.

　There are various coding systems for pharmaceutical products in Japan depending on the purpose of use cases such as medical treatments, insurance, dispensing and clinical studies. Therefore these multiple coding systems need to be managed according to the applications in a healthcare information system. In that case, it is necessary to understand the code should be used in what situation and the relationship between each code. That is also important to promote standardization of drug information in the healthcare information systems and to efficiently manage multiple coding systems in hospitals.

　This paper overviews the current major coding systems for pharmaceutical products and their interrelationships. In addition, we propose a new integrated coding table, “GS1 Drug Universal Standard Master (G-DUS Master)”, based on GS1 code. This coding table will help us to manage and operate multiple drug codes efficiently and effectively.