A safety and life support system has been developed to ensure the safety and wellbeing of elderly patients with dementia. A wearable sensor, which is attached behind the neck of the patient's undershirt, is composed of tri-axis accelerometer, small microphone, microcontroller, and personal handy-phone (PHS) module. The wearable sensor can detect posture, activity and falling by using measured acceleration forces. The PHS module can receive the location information from the mobile phone company every 10 minutes. When the patient is in an inactive state for long time, falls, or is out of the area set by the caregiver, the wearable sensor sends the patient's location, posture, activity and environmental sounds around the patient to the server computer of the emergency situation. The server computer then automatically informs the caregiver of the emergency situation by e-mail with an attached location map and environmental sounds. The caregiver can then immediately send help or emergency support as needed.

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 The spread of standard terminology and the model for effective operation of standard terminology is indispensable as the method of attempting the standardization of the medical information system. In this research, a handling system is developed to facilitate the work and to make the terminologies quality improving. Functional evaluation of its system was conducted by three terminologies.
 Moreover, the validity of the function was verified to see it could respond to the increase in efficiency of which process of terminology operational model, and further improvement was carried out.
 In the future, the developed system will provide to reduce the work for terminology operational. It showed that this system supported the model for effective operation of the terminology considering the interaction between administrator and user.

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 Background: A number of clinical trials have faced problems of subject enrollments after a trial is open. Purpose: The purpose of this research is to develop a predict index which estimate poor accrual in clinical trials before the trial is open using Electronic Medical Records. Methods: Towards clinical trials that are concerned by our center, we calculated the predictive index by dividing target sample size by the number of searched eligible patients and compared with accrual achievement of these trials. Results: Thirteen of 19 eligible trials have not achieved their original target sample size. The accrual achievement negatively correlated with the predictive index significantly. All the nine trials whose predictive index were more than constant values have not achieved their target sample size. In other words, these trials were able to predict that they could not achieve their original target sample size before the trial was open. Conclusion: Investigators should set attainable target sample size based on their actual clinical practice records at the protocol development stage to avoid poor accrual.

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 In order to glean new information and knowledge from medical texts, clinical records and other related material, the first step of the language processing is to split medical texts into words. Generally, a morphological analyzer and special dictionary are used to divide a string into words or compound words.
 ComeJisyo V1 is a dictionary for the morphological analyzer MeCab that was developed and released in November 2008, and was followed by the release of ComeJisyo V2 in January 2010 and ComeJisyo V3 in March 2011. ComeJisyo V1 included 30,146 words, while the new ComeJisyo V3 includes 41,592 words. Compared to ComeJisyo V1 which had an analysis accuracy of approximately 70%, the analysis accuracy when using ComeJisyo V3 to split medical texts into words or compound words is greater than 90%.
 Herein, we provide an overview of ComeJisyo and its analysis accuracy.

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 Many of inpatients tend to bring the medicine taking it when hospitalized, and facilities where the bringing medicine is used have increased. To raise the efficiency of the bringing medicine management, we have allotted work as follows. The pharmacist in charge of discrimination sees at the medicine window, and the discrimination report is made. The medicine assistance member counts the number of bringing in the prescription department. The ward pharmacist is proposing the plan of taking medicine to the doctor etc. in the ward based on the discrimination report. However, a coordinated strengthening of the discrimination charge pharmacist and the ward pharmacist is needed by allotting the work to cooperate efficiently, we developed ward pharmacist support system Kanbe2PT (this system as follows) that was able to understand the patient for whom the ward pharmacist had made the discrimination report at any time also in the ward. We compared time for “case to use this system” and “case to open inpatient's care card and to confirm the presence of the discrimination report”. We report that this system was able to support the inpatient pharmaceutical service, because about 148 seconds on the average for each ward have been shortened than earlier methods.

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 Rinsho Shinkeigaku is the official journal of the Japanese Society of Neurology that has been providing useful information to neurologists in Japan. Titles of articles published in Rinsho Shinkeigaku were analyzed by the morphological analysis to review what the Japanese Society of Neurology provided. We analyzed the titles of 7,450 articles. Multiple sclerosis and autopsy were the most frequently occurring disease name/category and medical term, respectively. The medical terms of antibody and gene were first used around 1980, and their usage gradually increased thereafter. The use of the terms computed tomography (CT) and magnetic resonance imaging (MRI) peaked around 1990 and thereafter decreased until 2010. The frequency variation in the use of disease names and medical terms reflects the trend in Neurology and the areas of interest of the neurologists.

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