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Healthcare information relies on numerous codesets for classification and designation.  Provider codesets are dynamic and managing different versions of these codesets and their associated crosswalks between them is critical.  Errors in translation result in delayed services and payment.  Semantic technologies can enable the effective management of these codesets as well as extend their value to […]

Brief discussion of the MarkLogic Data Hub for Medicaid, with a demonstration of an Operational Data Store (ODS) prototype. We will show how to import, combine, track, master, analyze and query Medicaid data to simplify MES Modernization efforts, and how to expose it in any format to downstream systems

At MarkLogic, we see opportunities, not boundaries. That’s just one reason why we’re proud to be recognized as a Visionary—for the second consecutive year—in the Gartner Magic Quadrant for Cloud Database Management Systems.

Industry leader increases ability to rapidly deliver new digital services while reducing IT complexity

Operational Data Store and MPI for Medicaid Transformation

Roundtable discussing the challenges the State of New Mexico and others faced in their Medicaid modernization programs, lessons learned, best practices, and areas they plan to continue to improve and invest in.

Paige Bartley from 451 research shares her insights on becoming a more data driven organization. WoodmenLife addresses how they maximized business value from their data, including legacy system data.

Learn more about this latest role-based, no-code/low-code approach to integrating, curating, and accessing data with Data Hub Central.

Use the Defense Department's (DoD) data strategy as a blueprint for your agency. Agencies wanting to become more data-centric might look to DoD for ideas. In this free report, you'll learn how to revamp your enterprise data strategies and what lessons you can take from DoD’s approach.

In this white paper learn how a data hub platform enables IT to deliver a solution that creates a 360-degree view of enterprise data – regardless of source, volume, or data type