The subtle differences in the common ground of shared assumptions between consumers and professionals may cause miscommunication. To avoid it, it is crucial to identify technical words and make them consumer-friendly. However, there is no dictionary custom-made for identifying words commonly found in functionality and safety information on foods with health claims for general consumers. This study aims at creating a new dictionary for morphological analysis and evaluating its accuracy. We created 203,095 dictionaries initially, aggregating from ten glossaries consisting of medical or clinical trial terminology (total number of extracted terms: 973,895). We then randomly extracted 66 from 1,310 pieces for general consumers (4.65％) to evaluate the accuracy of the dictionary (data were collected in July 2018). Therefore, it was found that one of dictionaries, which had the highest recall, showed that the F value reached a maximum of 0.961 (number of detected cases were 529 from manual and 1,725 from the MeCab; the accuracy reflected a precision of 0.283; recall was 0.924; and F-value was 0.434). Additional empirical studies are needed to further validate the dictionary created in this study.

　Background:

　Several studies on sepsis have shown that increasing the dialysate flow rate of continuous renal replacement therapy (CRRT) does not contribute to a decrease in mortality. The purpose of this study was to develop a CRRT database, analyze the mortality rate of sepsis, and analyze the dialysis practice of CRRT.

　Method:

　The definition of the purification amount of CRRT in this study was the standard volume group (800 mL/h or less) and the high volume group (801 mL/h or more). The primary end-point was 90-days mortality. A p-value <0.05 was considered statistically significant.

　Result:

　Among 2,837 patients who were admitted to participating ICUs between January 1, 2014 and December 31, 2017, there were 31 (1.1％) patients who met the inclusion criteria for CRRT-requiring sepsis. The chi-square test showed no significant difference in 90-days mortality between the standard and high volume group (59％ vs. 89％, p=0.24).

　Conclusion:

　In this study, we analyzed patient mortality rates for CRRT clearance by developing a database of population groups that underwent CRRT for sepsis. The conclusion was that there was no patient increase of mortality rate even if the amount of dialysate flow rate above CRRT’s medical treatment fee was increased.

　In Japan, linear accelerators account for the largest number of active devices. As a medical device, the linear accelerator continues to be indispensable for future cancer treatment; however, studies on the profitability of linear accelerator systems are still insufficient. In this study, we estimate cost and income associated with linear accelerator systems per facility according to hospital size and region. We analyzed the profitability of the introduction of linear accelerator systems in 2014 according to hospital size and the prefecture in which the hospital was located. Furthermore, we analyzed the factors associated with differences in income and expenditure. For small hospitals specialized in radiotherapy and large hospitals, the annual income per facility was potentially profitable. However, mid-sized hospitals and hospitals in some prefectures had the potential to incur a loss. These differences may be due to the number of treated patients or purchase price of equipment. Because the number of patients who receive radiotherapy is expected to increase in the future, radiotherapy will have a big influence on hospital management. Regarding the introduction of linear accelerator systems, it is necessary to comprehensively consider the direct balance of payment and the indirect influence of combination therapy (e.g., chemotherapy) on the balance, and the clinical necessity of the introduction of such systems in each medical facility.

　The purpose of this study is to provide effective support for improvement of lifestyle habits of Type 2 diabetic patients in the area and proposal of effect indicators of that support. We visualized factors that influence “intention to improve lifestyle habits” and their regional characteristics. We also examined the effect of that patient improving lifestyle habits. We constructed a Bayesian network model using patient ID and postal code with injury name “2 type diabetes” and specific health checkup data items of Iwamizawa City Hokkaido National Health Insurance Reception Data. The model in urban areas showed that exercise habits of more than 30 minutes and BMI had a direct influence on ‘intention to improve lifestyle habits’. In addition, the model in the rural area showed that exercise habits of 30 minutes or more and weight change, sex, and drunk habit from 20 years have a direct influence. Furthermore, it was suggested that improving lifestyle habits would affect “weight change per year”.