Milliman MedInsight earns Microsoft Healthcare AI certified software designation across all Marketplace solutions
Milliman MedInsight has been recognized as a Microsoft Solutions Partner with a certified software designation for Healthcare AI. The validation spans all three of its Microsoft Marketplace offerings: MedInsight Payer Platform, MedInsight VBC Platform, and MedInsight Analytics Products.
For healthcare leaders, this signals vetted security, proven interoperability with Microsoft Cloud technologies, and performance standards you can trust. It reduces procurement risk and shortens time to value for AI-enabled analytics on Azure.
What this designation means
- Security and compliance: Meets Microsoft's requirements for data protection and operational excellence.
- Interoperability: Works with Microsoft Azure and integrates with platforms like Microsoft 365 and Dynamics 365.
- Performance at scale: Tested against criteria that matter in production environments.
- Consistency across products: The certification applies to all MedInsight marketplace solutions, not just a single app.
MedInsight's platforms support analytics across total cost of care, value-based care performance, quality measurement, risk stratification, and population health-backed by Milliman's actuarial and healthcare expertise.
Where MedInsight fits in your stack
Built on Microsoft Azure, MedInsight slots into a Microsoft-first environment without heavy lift. Governance, transparency, and security controls help align with your existing risk and compliance standards.
- Claims, clinical, and social data aggregation and normalization
- Cost and utilization analysis with drill-down to service lines and cohorts
- VBC contract tracking and performance improvement workflows
- Quality programs (e.g., HEDIS, Stars) with measure-level visibility
- Risk stratification to focus care management resources
- Population health insights for targeted interventions
Practical moves to consider
- Confirm data readiness: source mappings (including FHIR where applicable), normalization rules, and PHI handling.
- Start with one high-ROI use case (e.g., high-cost cohorts or avoidable ED visits) and measure a clear baseline.
- Align with security and compliance early: access controls, audit logging, key management, and BAA language.
- Pilot on Azure with a defined success checklist-latency, user adoption, and accuracy of measures.
- Plan for change management: clinical/operational workflows, training, and governance updates.
Key questions for your team and vendors
- How are models governed, monitored, and documented (versioning, drift, explainability)?
- What data connectors are available (claims, EHR, FHIR, SDOH), and how are joins validated?
- What are the security baselines (encryption, identity, least-privilege access, audit trails)?
- What are the expected Azure costs (compute, storage, egress) and how are they controlled?
- What SLAs exist for uptime, performance, and incident response?
- How quickly can we implement our priority measures and VBC contracts?
Microsoft highlighted that certified software designations help partners stand out and meet growing demand for cloud-based solutions-placing MedInsight within a selective group vetted for healthcare AI.
Learn more and take action
Review the Microsoft program criteria to align your internal standards and procurement checklists: Microsoft AI Cloud Partner Program.
If you're planning skills development alongside deployment, explore these resources: AI for Healthcare and Microsoft AI Courses.
Your membership also unlocks:
