In order to plan the appropriate number of beds in a regional medical plan, it is essential to estimate accurately the number of future patients. Therefore it is necessary to clarify what kind of patient chooses which medical institution for each residential area. In this study, we propose a method to clarify the structure of the patient' hospital selection from the large regional medical information: Community health care data bank. When a patient chooses a hospital visit, we can assume that the patient considers not only the utility of candidate institutions, but also the distances from his/her home to these institutions. Furthermore, the influence of the latter might be different by their attributes, such as their gender and age. Then we formulate their utility structure by the multinomial logit model. Using the model estimated from a large dataset of receipts, we can estimate the selection probability of patient. We estimate an example model in a prefecture. First, we extract data of 10 major hospitals from the data bank, and we estimate the utility model for cancer patients. From the coefficients of the estimated model, we reveal that the patient who is away from all hospital tends to choose the largest university medical institution, and that the high age patient has a large probability to go to a hospital near his home. If we are able to clarify the structure of patients' share, combining with future population composition, we can estimate the future number of patients of each medical institution.

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【Purpose】Pupil perimetry test is considered to be one of the today's promising test methods to identify visual defect. The useful point is we can take on the measurement without both the oral response of the subjects and the complicated procedure to equip electrodes. Regarding 114 eyes of the younger normal subjects, we studied the test time of pupil perimetry test by using the recorded data during the measurement.
【Method】We are to have the test time by summing each time length of inter-stimulus interval, which has always unidentified variability within the given measurement. We analyzed the feature of inter-stimulus interval.
【Results】The test time (5.6±1.5 min) was not shown normal distribution and was with positive skewness. The mild tendency we found was that both test time and percent pupil contraction deviation (as a noise component of pupil perimetry) decreased as coefficient of variance of inter-stimulus interval decreased.
【Conclusions】Both the methodology and results of our study have potential for the appropriate understanding of pupil perimetry test by both of the persons who will measure and will be measured pupillary response. Moreover our study includes the importance of the fundamental numerical material toward discussing test-retest reliability for clinical ophthalmology.

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 We extracted latent topics of each participant for health checks data based on the medical interview items to illustrate validity of medical interview data for evaluation of the health conditions, which the stochastic topic model is defined by latent Dirichlet allocation. Clusters of the participants with the same topics were compared with the clusters based on modularity of the network graph. We extracted 30 latent topics from 4,384 participant's data with 270 items. Comparisons between participants with lifestyle-related disease items and participants with normal lifestyle items showed significant differences for GLU (p<0.05). From these results, the medical interview data of each participant proven to be useful data for comprehend the condition as the same as chief complaint and taking history for diagnosis.

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 We conducted a survey of the aftermath of the Tohoku region pacific coast earthquake on March11, 2011 as it related to the hospital information systems in the disaster area. Sixty six percent (55 hospitals) out of all the hospitals (83) in the survey submitted answers to the questionnaire. Most server systems and network systems were not severely damaged and their databases were protected and maintained with exception of the hospitals located in the tsunami area. However, in 60% of the hospitals, their hospital information systems malfunctioned for several days after the earthquake. These failures of operation were mainly due to the breakdown of the emergency electric supply, a lack of electric supply to air conditioners in server rooms, a lack of electric supply to all the network switch, and a fuel shortage of the emergency electric supply system. The results of this survey showed that environmental arrangement of a hospital information system can help to resume the operation immediately after a disaster. Hospital databases in the tsunami disaster area had been damaged and could not be recovered. Remote back up of databases should be given serious consideration.

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