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Taking healthcare analytics into the future - Milliman MedInsight

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Insights Success

Milliman MedInsight ranks among the healthcare industry’s most highly regarded platforms for data warehousing and healthcare analytics. Its deep data sources and wide-ranging data solutions have been adopted by payers, purchasers, providers, and other healthcare clients. Earlier this year MedInsight was recognized in the 2019 Best in KLAS: Software and Services report, winning the award for Payer Quality Analytics. KLAS, a research firm focused since 1996 on the healthcare information technology (IT) market, recognized MedInsight for its outstanding efforts to help healthcare organizations deliver high-value and high-quality patient care.

The MedInsight ecosystem contains numerous solutions and products for data warehousing and healthcare analytics. MedInsight Solutions is a webbased portal and data mart for accessing client healthcare data. The MedInsight Solutions provides business intelligence capabilities, such as data visualization features (standard reports, dashboards, and ad hoc query tools), as it enriches client data with proprietary MedInsight products, thirdparty groupers, and industry standard measures. The MedInsight Solutions supports over 66 methodologies as it creates analytic content for clients. Roughly, 30 of those methods are proprietary to Milliman.

MedInsight clients may differ by industry sector and individual requirements, but they are attracted to the platform for similar reasons. Its flexible and collaborative approach, combined with its growing array of state-of-the-art technology and software solutions, offer healthcare analytics tailored to each situation. Additional MedInsight products can be installed in a client’s computing environment as part of the platform or as on-premise products. They include individualized tools for specific business requirements.

We spoke with MedInsight Principal and Chief Product Officer, Rich Moyer, about what clients can expect from the MedInsight ecosystem as well as a look into future directions of data management and analytics, including big data, artificial intelligence (AI), machine learning, and more.

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