Medicaid Enterprise Data Warehouse

Create a single source of truth by consolidating multi-system data in cloud-based architecture for rapid, robust analytics that increase quality, enhance efficiency, and reduce costs.

How it helps

Exceptional data management enables accurate, timely, high-quality insights.

Medicaid data management contains multiple, interconnected sub-processes, including data source identification, data migration, data storage and compute, data access, and data analysis—all of which must adhere to state and federal data governance standards.

Our Data Ecosystem Framework optimizes technology components carefully selected for robust cloud architecture, interoperability, and cost-effectiveness, delivered in either software as a service (SaaS) or commercial off-the-shelf (COTS) models.

Our Framework ensures the right blend of technical expertise, processes, and technologies work in harmony to manage data and produce consistent, reliable insights. By harnessing modern architecture and technologies such as containerization, microservices, and API-first design, we deliver scalable, cost-effective solutions that drive speed, maintainability, and reusability, while preparing state agencies for future data initiatives.

Talk to our team about our Data Ecosystem Framework approach to Medicaid Enterprise Data Warehouses.

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Tackle barriers to progress

Do any of these issues sound familiar?

The Data Ecosystem Framework was developed by military intelligence experts, prioritizing speed, and accuracy in data processing to deliver rapid insights and save lives.

Data Integration and Quality

Integrating data from disparate sources often results in inconsistent, poor-quality data, leading to unreliable analytics. Streamline integration and ensure accuracy by implementing robust data acquisition processes, enforcing data quality checks, and establishing strong governance policies.

Scalability and Performance

A data warehouse that isn’t designed to maintain performance while handling an ever-increasing volume of data can cause slow queries and system bottlenecks. Scalable architectures, cloud-based solutions, indexing, and partitioning strategies help optimize performance.

Cost and Resource Management

Uncontrolled expenses related to data warehouse infrastructure, tools, and skilled personnel can strain budgets and reduce effectiveness. Cost optimization strategies, close monitoring of resource usage, and hybrid agile implementation can help balance requirements with budget constraints.

The Data Ecosystem Framework

Transform exponentially growing datasets into strategic assets that drive improvements in care delivery.

Our Data Ecosystem Framework provides customers with highly customized enterprise data warehouse solutions tailored to their unique organizational data needs.

  • Streamlines Approach

    By optimizing the operations and number of technology platforms, Resultant simplifies analytics execution. Our vendor-neutral approach allows us to collaborate with our clients, using industry leading technology across the Ecosystem, ensuring the best fit for each customer's needs.

  • Supports Data Quality

    By simplifying the integration of high-quality data in a centralized location, customers can establish a reliable, single source of truth for organization-wide reporting and analysis.

  • Increases Interoperability

    The Data Ecosystem supports FHIR connectivity and integrates structured, semi-structured, and unstructured data.

  • Promotes Reusability

    Resultant’s value lies in our ability to build solutions that leverage tools already familiar to business users, reducing the learning curve associated with adopting new data technologies.

  • Increases Analytics Maturity

    Make progress on your data maturity path from basic descriptive analytics all the way through to advanced analytics with transformative machine learning and AI.

WHEN IT HELPS

Wherever you are in your Medicaid data journey, we can help

Data Source Identification

  • Credible data source identification
  • Organizational requirements
  • Stakeholder coordination
  • Data Use Agreements (DUA/DSA)

Data Ingestion and Integration

  • Extract Load Transform/Extract Transform Load (ELT/ETL)
  • Automation

Cloud Strategy

  • Cloud architecture
  • Data lakes, data warehouses, data mesh
  • Storage and compute management

Data Access

  • API
  • FHIR
  • SQL
  • Roles Based Access Controls (RBAC)

Data Governance

  • Data Catalog
  • Governance policies

Analytics and AI

  • Business Intelligence (BI)
  • Data Science
  • Machine Learning (ML)
  • Large Language Models (LLM)

Meet your Medicaid Data Ecosystem Framework team

Colin Stauffer

HHS Practice Lead

Denise Tocco

Market Principal, Medicaid

Jackie Ackerman

Engagement Manager, Medicaid and Human Services

Tara Gensemer

Senior Consultant, Medicaid and Human Services

FAQS

What are some of the benefits of the Data Ecosystem Framework?
We select cloud-architected capabilities that support structured, semi-structured, and unstructured data. This architecture handles diverse data formats and sources in addition to traditional formats found in legacy warehouse solutions.
How does the Data Ecosystem Framework control costs?
We separate storage and computing costs, enabling clients to scale each independently. You’ll have efficient, low-cost storage, cost optimization, and the ability to query and analyze large datasets without needing to move or copy data. We dynamically scale and allocate computing resources based on workload demands and use automated monitoring for visibility into usage, continuously tuning and improving queries.
How will the data warehouse ensure data security and privacy?
Our Framework approach withstands the ever-changing threat landscape by design with 24x7 monitoring and data protection. Security is paramount, and we layer access controls across the data ecosystem and within the data and analytics access points. We use the Safe Harbor Method for de-identification standards, removing all 18 PHI identifiers to ensure the data cannot be traced back to one person. We align our solutions with all relevant regulatory standards including NIST Special Publication 800-53, CMS Medicaid and Children’s Health Insurance Program Enterprise (MARS-E), HIPAA, the Federal Information Security Modernization Act (FISMA), ISO/IEC 27001, the Federal Risk and Authorization Management Program (FedRAMP), and HITRUST, ensuring comprehensive compliance and security across all operations.
How will the data warehouse support real-time analytics and reporting to drive decision-making?
Our solution is data format-agnostic and has the ability to ingest data from nearly any source. It combines disparate datasets, creating a robust starting point for analytics. We support the most frequently used business intelligence platforms including SAS, Tableau Power BI, Python and R.

Related Capabilities

Medicaid Data Ecosystem Framework can include new or enhance existing capabilities like:

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Learn how the Data Ecosystem Framework can harness the power of your Medicaid data.



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