Medical device companies
We support pharmaceutical firms and medical affairs sections in medical device companies in Japan, working to develop real-world evidence. We draft research design to advise on the selection of appropriate real-world data, draft forms for protocol/ethics committees, analyze data, and develop materials for academic conferences. We develop, identify, select, propose, and assess the most appropriate analytic methods for given research questions.
Milliman analytics solutions
- Health economics & outcome research
- Development of real-world evidence
- Development of medical insurance products
- Planning new healthcare business strategies
- Predicting healthcare demands supporting regional initiatives
- Assessment of data health plans
- Improving hospital management
- Support of decision making through modeling simulations
Health economics & outcome research
Through analyses of real-world data, including health insurance claims, administrative information, and electronic health records, we perform research regarding actual treatment status and medical costs, and compare outcomes of different treatment types .
Research
Articles originally published by the National Center for Biotechnology Information and published by Milliman Insight.
Health Economics & Outcome Research
- Comparison of zonisamide with non-levodopa, anti-Parkinson's disease drugs in the incidence of Parkinson's disease-relevant symptoms.
- Persistence of oral antidiabetic treatment for type 2 diabetes characterized by drug class, patient characteristics and severity of renal impairment: A Japanese database analysis.
Development of Real World Evidence
- Comparison of zonisamide with non-levodopa, anti-Parkinson's disease drugs in the incidence of Parkinson's disease-relevant symptoms.
- Persistence of oral antidiabetic treatment for type 2 diabetes characterized by drug class, patient characteristics and severity of renal impairment: A Japanese database analysis.
- Persistence rates and medical costs of biological therapies for psoriasis treatment in Japan: a real-world data study using a claims database.
Planning of New Healthcare Business Strategies
- Will a proposed policy in Japan, Health Gold License, work?: Estimation of medical cost saved by medical check-ups.
- Projection of share over time after launch using machine learning and RWD, and its utilization.
- Does health business pay off as an investment?
Assessment of Data Health Plans
- Effect on medical cost reduction of recommendation of visit of doctors for hypertensive individuals who have not visited doctors.
- Effect on medical cost reduction of recommendation of visit of doctors for individuals with diabetes who have not visited doctors.
- Example of Analysis Utilizing Real World Data: Medical Cost Reduction by Advising Untreated-Hypertension Patients to Visit Doctors.
Improvement of Hospitals Management
- Application of Bayesian Network Model to Hospital Risk Management.
Support of Decision Making through Modeling Simulations
- Diagnostic accuracy of 3D deep-learning-based fully automated estimation of patient-level minimum fractional flow reserve from coronary computed tomography angiography.
- Medical claim cost impact of improved diabetes control for medicare and commercially insured patients with type 2 diabetes.
- Association Between Class if Antidiabetic Drug And Incidence of Myocardial Infarction In Patients with Type 2 Diabetes Melitus: A Proportional Hazard Analysis Using Deep Learning For Risk Adjustment.
- Comparison of medicines after risk adjustments for patients with type-2 diabetes in US health insurance claims data using machine learning of cardiac infarction occurrence rate.
- Development of a predictive model of hemoglobin A1C based on statistical machine learning using clinical data.
- Life insurance risks.
- Effect on medical cost reduction of recommendation of visit of doctors for hypertensive individuals who have not visited doctors.
- Effect on medical cost reduction of recommendation of visit of doctors for individuals with diabetes who have not visited doctors.
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