Healthcare Data Analytics Blog

AI in healthcare analytics: Milliman MedInsight’s approach to delivering trusted answers at speed and scale

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Lady at desk

Organizations are under growing pressure to make faster, more confident decisions in an increasingly complex healthcare environment. As healthcare continues shifting to value-based care, administrative tasks and data volumes are both growing. Although many leaders see artificial intelligence (AI) as a possible solution, it also brings new challenges. Without access to accurate data, a strong … AI in healthcare analytics: Milliman MedInsight’s approach to delivering trusted answers at speed and scale

Value-based care requires value-based operations: A framework for operational alignment

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Patient and doctors

In healthcare, value-based care (VBC) is more than a familiar phrase. It represents a commitment to better patient outcomes and more thoughtful use of resources. Yet as the industry shifts from fee-for-service (FFS) reimbursement to value-based contracts, a significant gap persists. We often focus on contract design, aligned incentives, shared savings, and risk-bearing arrangements. But … Value-based care requires value-based operations: A framework for operational alignment

Bridging the gaps: Ensuring provider network adequacy with the Milliman Network Optimizer

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Red haired patient

Building a provider network that meets adequacy standards is no small feat for healthcare organizations. As regulatory requirements evolve and patient needs diversify, ensuring beneficiaries have timely access to the right providers becomes increasingly complex. Organizations must navigate a maze of compliance benchmarks, analyze vast and often fragmented data, and address gaps across multiple specialties … Bridging the gaps: Ensuring provider network adequacy with the Milliman Network Optimizer

Q&A: How data analytics can drive improved outcomes and efficiency in maternity care

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Pregnancy check-up

Across the healthcare system, improving outcomes while managing the total cost of care remains a critical challenge—especially in maternal health. Maternal mortality rates, comorbid conditions, and persistent disparities have placed increased focus on the quality, accessibility, and effectiveness of maternity care. As organizations work to deliver safer pregnancies and healthier births, understanding the drivers of … Q&A: How data analytics can drive improved outcomes and efficiency in maternity care

Looking ahead: Preparing for key HEDIS 2026 updates

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Operating room doctor

The National Committee for Quality Assurance (NCQA) has announced several upcoming changes to the Healthcare Effectiveness Data and Information Set (HEDIS®)1, which will impact how organizations measure and report quality of care.2 These updates are designed to enhance accuracy, reflect new clinical guidelines, and address emerging health priorities—but they also require compliance, data management, and … Looking ahead: Preparing for key HEDIS 2026 updates