[Objective] Mathematical modelling and attempting to ecologically analyse transmission, population dynamics and inter-strain competitions of Streptococcus mutans (MS) in a single host. [Design] The Verhulst-Pearl and Lotka-Volterra equations were used to construct models. [Results] The presented models could successfully describe the transmission and dynamics of MS populations. The analysis using the basic model showed that the window period of infection reported by other researches was likely due to the distribution of MS transmission rates in the subjects surveyed. The competition model suggested that the dominant strain was more likely to be determined by ecological interactions than by immunological compatibility. It was also predicted that another strain would possibly exist at least at undetectable levels, even when only mother's strain could be found.

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【Background】 In the traditional system, emergency service could not make use of information on patient acceptance which was provided to prefectural information system. As the result, the system use rate remained so low that emergency service members had to make acceptance request calls to individual hospitals one by one. Then, in case it was difficult to find where to rush patients, the loss of time often resulted as a controversial issue.
【Issue】 Under the progress of internet technology, Hiroshima Prefecture has improved the function of information system in the emergency network since 1997, and the new third system began operation in August, 2007. It will help access the hospitals which accept patients and it will be capable of monitoring evaluation of pre-evacuation process at the time of complex emergency cases or wide area disaster.
【Achievements】 This system is available by 16 emergency services which cover 148 designated emergency hospitals in Hiroshima Prefecture. In simulation of disastrous highway accident, auto sending and receiving system was experimentally operated in order to request emergency hospitals the vocal replies from incident site through information center. The outcome was that 95% hospitals returned responses in first year trial. Consequently, in contrast to the satisfactory availability in technology, there is still a need of improvement in the receiving site and system of medical facilities and the practical procedures of acceptance decision.

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 Releasing patient medical charts has entered a new phase due to recent advances in electronic medical chart systems. The author et al. previously surveyed patients and healthcare personnel using the same questionnaire, in order to compare patient responses with healthcare personnel responses.
 Based on the survey results, the author has pursued a better way of providing medical chart information. This time, a questionnaire raising ethical issues has been administered and the survey results analyzed.
 The present survey included 1665 persons consisting of 715 patients, 619 healthcare personnel, and 126 employees of companies associated with the university hospital surveyed. As a result, there were differences in responses among the patients, healthcare personnel, and company employees concerning the questions on ethical issues. For example, if releasing patient medical charts is promoted, physicians may stop candidly commenting on the charts, sparing patient feelings.
 Concerning this, a significantly higher proportion of the healthcare personnel responded that it could not be helped compared to the patients and company employees (Physicians: 65.9%, Nurses: 55.6%, Company employees: 37.9%, Outpatients: 35.5%, Inpatients: 34.8%).
 As a general rule, patient medical charts should be released. However, information raising ethical issues (e.g. a medical chart documenting child abuse) strongly influences the judgment of whether to release a medical chart. An age of electronic medical chart systems is coming. We recommend that releasing patient medical charts should be discussed concerning both technical problems and ethical issues.

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 We developed a medical information integration system for the development of a diagnosis method of dementia using MEG (Magneto encephalograph). In this research area, various data such as raw data of MEG, MRI (Magnetic Resonance Imaging) data, MMSE (Mini-Mental State Examination) data and physical checkup data are stored in networked disk drives and utilized for the development of a diagnosis method of dementia by researchers. However, lots of time of the researchers is spent browsing folders and finding files and obtaining these data. These data cannot be categorized clearly in fluid situation of the development of a diagnosis method of dementia. Therefore, effective data management system is required. To solve this problem, we attempt the semantic Web technologies such as RDF (Resource Description Framework), OWL (Web Ontology Language) and SPARQL Query Language for RDF. In this paper, we argue metadata creation, metadata extraction, metadata retrieval and show an effective data management system on semantics of these data in the research area.

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 Japanese government had been promoting introduction of an electronic medical record system (EMR) to more than 60% of hospitals with over 400 beds as well as clinics in Japan by the year of 2006. However, the present condition of the EMR introduction is far inferior to the afore-mentioned goal. Therefore, in the present study, we made a questionnaire survey on the EMR introduction for 450 hospitals and analyzed the results of its answers replied from 126 hospitals including the special functioning hospitals in order to contribute to promotion of the introduction in the future. The state of the EMR introduction of 126 hospitals was as follows: ①already introduced; 48 cases, ②having a plan of the introduction; 43 cases, ③having no plan of the introduction; 35 cases. In the present paper, we report on outlines of the purpose of the EMR introduction, comparison of merits and demerits of the EMR introduction, problems at the introduction stage and so on for above 48 cases. Furthermore, a little suggestion is made to promote the introduction from the results of the analysis.

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