Navigate today’s most pressing health industry challenges with a leading global expert by your side.
Discover intelligent digital solutions to help improve outcomes, manage costs, and solve the toughest healthcare challenges.
Meet growing needs for innovative insurance solutions while increasing operational health and improving compliance.
Financial modeling & industrialization
Insurance risk assessment
Retirement & Benefits
Deliver on the promises of the past and create smart solutions for the future.
Compensations & benefits
Benefit plan evaluation
Manage complex risks using data-driven insights, advanced approaches, and deep industry experience.
Risk technology plays a major role
Auto policy underwriting
Software performance enhancement
Mortgage platform for investments & reinsurance
Solvency II reporting & compliance
This is a place where your ideas and insights make an impact. Where an independent, entrepreneurial spirit is an advantage. And where diversity of thought and experience makes us who we are.
Data-driven insight. Deep expertise. Transformative innovation. Since 1947, Milliman has delivered intelligent solutions to improve health and financial security.
Identifying inequities through research and data.
It’s time to re-examine current systems. Milliman applies our deep expertise and analytic capabilities to better understand hidden bias and systemic inequities in healthcare and insurance.
An examination of racial disparities in preventive services for Medicare beneficiaries with type 2 diabetes.
Insurers need to adapt to rising demand for transparency and accountability on how their business practices contribute to potential systemic societal inequities.
Now that CMS requires REACH ACOs to measure and address health equity, providers face a steep learning curve with data analysis.
How do responses differ by demographic characteristics?
A summary of available data sources that can assist state Medicaid agencies in evaluating health disparities and measuring progress toward health equity goals
This white paper discusses how to detect bias and build a fair machine-learning model.
This report evaluates the general enrollment Medicare Advantage plans available to individuals of different racial and ethnic groups in the United States.
We tested two prospective diagnosis-based MARA models intended for use on Medicare populations, and found no indication of racial bias.
An analysis of prevalence and provider care patterns.
We’re here to help you break through complex challenges and achieve next-level success.