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State & Local Government

Health & Human Services

Helping State HHS agencies deliver services with real-time, integrated data across program boundaries.

Austin Capitol Building at Sunset

Better Data for Improved Service Delivery

Outdated and disconnected systems make it hard for agencies to ensure delivery of the right services to those who need them. These siloed systems are also difficult, slow, and expensive to adapt to meet changes mandated by law or evolving priorities.

To improve the delivery of healthcare services and meet requirements for health data interoperability, technology leaders of state health and human service departments need to modernize their aging Medicaid Enterprise Systems (MES). These State government modernization and replacement projects traditionally suffer from lengthy development cycles. Legacy ODS and MDM technology is simply not up to the task of quickly and reliably delivering a complete, real-time, person-centric 360 view from disparate data silos.

A different approach is needed. The MarkLogic Data Hub for Medicaid combines an Operational Data Store (ODS) and Master Patient/Provider Index (MPI) that allows states to confidently accelerate migration of legacy data to a more modern platform that simplifies data integration while future-proofing IT architecture.

MarkLogic Data Hub For Medicaid

Medicaid Modernization projects in state government involve large scale data integration efforts. Legacy technology implementations struggle to keep pace with fast-changing integration needs that can be costly and prolong the time to benefit. The MarkLogic Data Hub for Medicaid can help accelerate your Medicaid modernization efforts while reducing risk

Download the data sheet

Henry Chao

Today’s modern data challenges are best met with technology designed for modern data requirements... With the MarkLogic database, we were able to accomplish CMS goals in just months.”

The MarkLogic Approach

Today’s modern Medicaid Enterprise Systems are composed of reusable modules, connected in a Data Hub pattern, as defined by the CMS MITA initiative. In this webinar, we talk about how to speed time-to-value and reduce risk by focusing first and foremost on an Operational Data Store (an ODS) that fills the Data Hub role, and connects all the modules with clean, curated data for both real-time and batch operations. We will demonstrate a small, prototype ODS of this type to illustrate the MarkLogic approach

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ODH Cover Image
Powerful Shouldn’t Be Complex

The MarkLogic Approach to Data Integration: Data Hub

Traditional approaches to data integration have built up technical debt. A data hub has emerged as a more agile approach to keep up with today’s fast moving business demands. Read this comprehensive guide for enterprise architects and learn the principles of a data hub.
Read the e-book

Powerful Shouldnt Be Complex