The University of Tokyo · 의학
Hayato Yamana 교수의 연구실은 의료정보 기반의 임상 연구를 중심으로, 행정 데이터와 진료기록을 활용한 질병 진단의 타당성과 질병 식별 정확도를 높이기 위한 방법론적 연구를 수행하고 있습니다. 특히 중증 세ptic증후군과 DIC와 같은 중증 질환의 정의에 있어 진단 기록보다 절차 기록이 더 민감한 결과를 제공함을 규명하며, 의료데이터의 임상적 활용 가능성을 확장하고 있습니다. 또한 전통 한의학인 켄포 처방의 실생활 사용 패턴 분석을 통해 현대 의료와 전통의학의 융합 연구도 진행하고 있습니다.
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
The validity of diagnoses and procedure records in the DPC data and laboratory results in the SS-MIX data was high in general, supporting their use in future studies.
Validation studies are being conducted at an increasing rate in Japan, although most of them are small scale. Further large-scale comprehensive validation studies are necessary to effectively utilize the databases for research.
Procedure-based methods were more sensitive and less specific than diagnosis-based methods in identifying severe sepsis and DIC. Procedure records could improve disease identification in administrative databases.
Several allergic diseases were associated with an increased incidence of endometriosis. A higher incidence was also observed in patients with rheumatoid arthritis. Further studies are warranted to elucidate the influence of immune responses on the development of endometriosis.
Objective Kampo is a traditional Japanese medicine using formulae of natural agents. Although Kampo is widely practiced, information regarding the current prescriptions of Kampo formulations is lacking. The aim of the study was to describe the outpatient use of Kampo formulations in the current Japanese health insurance system. Methods From the JMDC Claims Database, we identified subscribers with outpatient prescriptions of Kampo extract formulations between April 2017 and March 2018. Prescripti
Procedure-based severity index predicted mortality well, suggesting that procedure records in administrative database are useful for risk adjustment.
In this era of large-scale, multi-institutional studies, the importance of analyzing hierarchical (clustered) data is increasing. However, conventional regression analysis may be inadequate for this purpose because it assumes that records for individual patients are independent of records for other patients. Multilevel analysis is a statistical method that allows one to analyze data with a hierarchical structure. Mixed-effect models expand the conventional regression models by incorporating rand
Little improvement was observed in the prognosis of cirrhosis compared with previous reports, and the prognosis of Child-Pugh class C cirrhosis remained poor. Untreated esophageal varices were identified as a risk factor for death.
Our model using routinely collected administrative data accurately identified postoperative infections. Further external validation would lead to the application of the model for research using administrative databases.
