A5002077387- Clinical practice guidelines implementation
- Chronic Disease Management Strategies
- Diabetes Management and Education
- Antibiotic Use and Resistance
- Machine Learning in Healthcare
- Insurance and Financial Risk Management
- Patient Satisfaction in Healthcare
- Data-Driven Disease Surveillance
- COVID-19 and healthcare impacts
- EEG and Brain-Computer Interfaces
- Medical Research and Treatments
- Healthcare Policy and Management
- Telemedicine and Telehealth Implementation
- Radiation Dose and Imaging
- Health Promotion and Cardiovascular Prevention
- Gaze Tracking and Assistive Technology
- Antimicrobial Resistance in Staphylococcus
- Electronic Health Records Systems
- Data Quality and Management
- Healthcare Systems and Technology
- Nutritional Studies and Diet
- Lung Cancer Treatments and Mutations
- Blood Pressure and Hypertension Studies
- Technology and Data Analysis
- Healthcare Technology and Patient Monitoring
Institute for Health Economics and Policy
2019-2025
The University of Tokyo
2008
University of Tokyo Hospital
2007-2008
Tokai University
1993-2002
Kyoto University
1997
To evaluate condition-specific antibiotic prescription rates and the appropriateness of use in outpatient settings Japan.Using Japan's national administrative claims database, all visits with infectious disease diagnoses were linked to reimbursed oral prescriptions. Prescription stratified by age, sex, prefecture, category determined for each diagnosis. The proportions any first-line prescriptions calculated diagnosis.Of 659 million between April 2012 March 2015, antibiotics prescribed 266...
Research on the effectiveness of Japan's national action plan antimicrobial resistance, including among individuals with HIV, remains scarce. To evaluate impact policies antibiotic prescription practices. Outpatient oral data from 2012 to 2020 were extracted a claims database comprising >98% Japanese population. Prescription rates stratified according class, diagnosis and HIV status. An interrupted time-series analysis was performed assess plan. average 129,989,400 prescriptions issued...
ABSTRACT Objectives Antibiotic prescription trends in dentistry Japan remain underexplored. This study aimed to describe these and evaluate the impact of national antimicrobial stewardship program launched 2016. Methods Using Japan's administrative claims database from fiscal year (FY) 2015 FY 2020, this cross‐sectional comprehensively analyzed antibiotic by dentists. Prescription rates were computed per 1000 inhabitants yearly standardized population. Changes evaluated using Poisson...
The COVID-19 pandemic has forced people to change many behaviours, including physical distancing, hygiene measures and lifestyles. This study aimed evaluate the indirect impact of on incidence non-COVID-19 infections medical care costs/visits using health insurance claims.This was an observational patient-based administrative claims covering approximately 800,000 insured persons their dependents in Mie Prefecture Japan.This identified infectious disease incidences, number outpatient visits...
Telehealth using telephones or online communication is being promoted as a policy initiative in several countries. However, there lack of research on telehealth utilization country such Japan that offers free access to medical care and regulates provision-particularly with respect COVID-19.The present study aimed clarify utilization, the characteristics patients institutions telehealth, changes order support formulation strategies for provision.Using administrative claim database National...
Background: Driven by the rapid aging of population, Japan introduced public long-term care insurance to reinforce healthcare services for elderly in 2000. Precisely predicting future demand helps authorities plan and manage their resources citizens prevent health status deterioration.
It is expected that a large amount of data related to diabetes and other chronic diseases will be generated. However, databases constructed without standardized item sets can limited in their usefulness. To address this, the Collaborative Committee Clinical Informatization Diabetes Mellitus was established 2011 by Japan Society Association for Medical Informatics. The committee has developed core self-management mellitus, hypertension, dyslipidemia, kidney disease collaboration with Japanese...
Understanding the spread of diseases and use medicines is practical importance for various organizations, such as medical providers, payers, national governments. This study aims to detect change in prescription trends identify its cause through an analysis Medical Insurance Claims (MICs), which comprise specifications fees charged health insurers. Our approach two-fold. (1) We propose a latent variable model that simulates medication behavior physicians accurately reproduce monthly time...
We proposed a new concept of medical care system, named the "hyper hospital" which is constructed in computer based electronic information network. It built as distributed system on network and consists all kinds conventional facilities both real imaginary spaces. The virtual space hyper hospital private are owned exclusively controlled by patient, thus maximum protection privacy patients can be observed. In hospital, an innovative human interface must required for consultation, treatment...
ObjectiveJapan's national-level healthcare insurance claims database (NDB) is a collective that contains the entire information on services being provided to all citizens. However, existing anonymized identifiers (ID1 and ID2) have poor capability of tracing patients' in database, hindering longitudinal analyses. This study presents virtual patient identifier (vPID), which we developed top these identifiers, improve traceability.MethodsvPID new composite intensively consolidates ID1 ID2...
We analyzed the behavior of patient with a focus on patient-sharing based methodology network analysis. used an administrative healthcare claims database from September years 2008-2020 to identify shared patients hypertension. The patients’ visiting multiple medical facilities was extracted as graphical data, and we calculated density centrality indicators evaluate structure sharing network. Our findings indicate that density, reciprocity, transitivity increased over time, PageRank were correlated.
Medical events are often infrequent, thus becomes hard to predict. In this paper, we focus on predictor that forecasts whether a medical event would occur in the next year, and analyzes impact of event’s frequency data size via predictor’s performance. experiment, made 1572 predictors for using Insurance Claims (MICs) from 800,000 participants 205.8 million claims over 8 years. The result revealed (a) forecasting error will be increased when predicting low-frequency events, (b) increasing...
Medical insurance claims are useful data to offer a big-picture view and insight of nation-wide healthcare system. Yet, formal description the logic analyze has not been established. So far, we proposed scheme analytics over database. In this paper, propose novel framework based on scheme. By showing case study, demonstrate effectiveness framework.
The geographical imbalance of the healthcare workforce is a social problem in Japan. Except for big cities, hospitals have difficulties securing sufficient to offer services stably. For local government, hospital service suspensions are potentially an essential indicator figure out capacity regional supply. This paper proposes algorithm that automatically identifies and classifies from insurance claims data, based on periodicity similarity. To verify effectiveness, we applied claim dataset,...