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Modernizing healthcare analytics to deliver faster cost and utilization insights
Cambia Health Solutions (Cambia) serves more than 2 million members through its regional health plans and is guided by a mission to make healthcare easier and lives better. To support that mission, the organization set out to strengthen its analytics foundation with a more scalable, reliable approach to delivering timely, trusted insights for actuarial and … Modernizing healthcare analytics to deliver faster cost and utilization insights
What is risk adjustment software? A guide for healthcare organizations
Risk adjustment depends on accurate data, complete documentation, and consistent workflows. For healthcare organizations managing risk-based contracts, those requirements can become difficult to coordinate across teams, systems, and populations. Claims data may live in one place, clinical data in another, documentation review in a separate workflow, and reporting in static dashboards or spreadsheets. Risk adjustment … What is risk adjustment software? A guide for healthcare organizations
The importance of data selection in AI model training, testing, and deployment
Artificial intelligence is only as good as the data behind it. In healthcare, even small differences in inputs can lead to vastly different outcomes, making data quality and provenance critical to evaluating AI models. This whitepaper introduces the Milliman MedInsight Data Confidence Model, a structured approach built on 25 years of experience matching the right … The importance of data selection in AI model training, testing, and deployment
Signs your organization needs better clinical and claims data integration
Almost no healthcare organization intentionally builds a fragmented data environment. Fragmentation develops through reasonable decisions: an acquired practice arrives with a second EHR instance, a risk-based contract introduces another payer file, a vendor relationship brings in laboratory or pharmacy feeds. Their combined effect is a set of systems describing the same patients and members differently. … Signs your organization needs better clinical and claims data integration
How to choose the right risk adjustment vendor
Executive Summary Choosing a risk adjustment vendor should never be reduced to coding function alone. The right platform should improve documentation quality, integrate into clinical and operational workflows, provide transparent analytics, support prospective and retrospective programs, and maintain audit readiness. Organizations should prioritize configurable technology, explainable AI, strong governance, measurable outcomes, and an implementation approach … How to choose the right risk adjustment vendor
Responsible AI in healthcare analytics: The MedInsight approach
Key Highlights Introduction› Analysis in the AI era› Principles of AI adoption at MedInsight› Conclusion› Download the white paper Introduction The recent explosion of artificial intelligence (AI) capability and deployment at scale has dramatically altered conversations and expectations for technology solutions. Healthcare and healthcare analytics are no exceptions to this. AI as a technological innovation … Responsible AI in healthcare analytics: The MedInsight approach
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Heart failure admissions: Cost implications of potentially avoidable inpatient care
Key Highlights Background› Methodology› Analysis› Conclusion› Download the article Heart failure (HF) represents one of the most pressing cardiovascular health challenges facing the United States (US). According to the CDC, heart failure occurs when the heart cannot pump enough blood and oxygen to meet the body’s needs. Although it is a serious condition, it does … Heart failure admissions: Cost implications of potentially avoidable inpatient care
Examining trends and impacts of rising cesarean section delivery in nulliparous women
Key Highlights Introduction› Study population and delivery trends› Maternal age and payer mix› Costs and complications› Conclusion› Download the article Childbirth is the leading cause of hospital admissions in the United States, with cesarean deliveries being the most frequently performed surgical procedure.1 Cesarean deliveries are a crucial and life-saving intervention2 but they can also pose … Examining trends and impacts of rising cesarean section delivery in nulliparous women
Milliman MedInsight advances practical, trusted AI strategy for healthcare analytics
Seattle, WA — Sept. 14, 2026 — Milliman MedInsight® (MedInsight), a leading provider of healthcare data and analytics solutions and division of Milliman, announced today the next phase of its artificial intelligence (AI) strategy. The strategy centers on embedding responsible AI capabilities into healthcare analytics workflows, drawing on high-quality data, transparent methodologies, and the analytical … Milliman MedInsight advances practical, trusted AI strategy for healthcare analytics
Why clinical data aggregation is essential for better healthcare analytics
Clinical data accumulates in many places at once, collecting in electronic health records, laboratory systems, pharmacy platforms, care management tools and claims files, each with its own format and update schedule. The consequences are familiar: two departments run comparable reports and arrive at different figures, and analysts spend their time reconciling records instead of interpreting … Why clinical data aggregation is essential for better healthcare analytics
When screening becomes waste: Ovarian cancer testing in asymptomatic women
Key Highlights The “Silent Killer” and the Urge to Screen› The Current State of Ovarian Cancer Screening› Key Findings From the Analysis› Conclusion: Turning Insight Into Action› Key Takeaways for Healthcare Leaders› Download the article The “Silent Killer” and the Urge to Screen Ovarian cancer is the deadliest gynecologic cancer and the 10th leading cause … When screening becomes waste: Ovarian cancer testing in asymptomatic women
How Missouri Health Value Collaborative cut reporting time from two days to one hour and tripled its regional coverage.
Missouri Health Value Collaborative (MHVC) is a St. Louis-based nonprofit regional health improvement collaborative that brings together self-insured employers, providers, and payers to improve healthcare quality and affordability across Missouri. Its four-person analytics team produces the population health scorecards, utilization reports, and market share analyses that give self-insured employers a clearer picture of the populations … How Missouri Health Value Collaborative cut reporting time from two days to one hour and tripled its regional coverage.
