T-MSIS | Clean Data for Federal Healthcare Reporting
See how we helped revamp the CMS and CHIP state-to-federal data categorization to ensure accurate, reliable, clean data transmission.
What We Did
We worked with stakeholders across state and federal agencies to make a more efficient, streamlined, and accurate data layout for state public healthcare.
qualitative analysis
user research
roadmap for digital transformation
Results
Standardized Reporting
Diving into different procedures and standards across state and federal agencies, and creating a framework for accurate, reliable, and standardized reporting.
Clean Data
Untangling the complex environment of CHIP and CMS reporting to ensure an accurate basis for policy provision, oversight, and funding across federal programs.
Federal Recognition
Vervint was recognized by the Data Information Systems office of the federal government for our attention to the relationships and the fine detail this project required.
About T-MSIS
The Transformed Medicaid Statistical Information System (T-MSIS) is the system used for state reporting of Center for Medicaid Services (CMS) and Child Healthcare Insurance Program (CHIP) data, which is the basis for policy provision, oversight, and public health funding across the United States.
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A Lack of Clean Data Leads to Extra Work for Everyone
Due to the nature of state public health management, data gathering and reporting vary widely from one state to the next. Over the years, the system had grown complex and challenging to manage, with a lack of standardized methods for parsing out financial transactions and healthcare claims. Because this data was used to formulate public health policy, budgeting, and resource allocations at the federal level, it was critical that it be standardized and accurate.
A federal contractor engaged Vervint as a subcontractor to manage the assessment, recommendation, and implementation of a new policy-compliant data layout that stakeholders could use for separating healthcare claims from related financial transactions at the state and federal levels to improve system efficiency and data accuracy.
Investigate, Document, and Standardize
Vervint engaged at the federal level with T-MSIS’ product manager, data scientist, and policy SME. Our Experience, Research, and Design (XRD) team organized the discovery process and applied several different human-centered research techniques, such as surveys, qualitative interviews, and frameworks. These tools uncovered policy definition contradictions, data redundancies, and incorrect coding.
Vervint’s XRD researchers interviewed stakeholders in 19 states and 8 agencies. They conducted two national conference workshops to learn what and how to implement this sweeping change to state processes while more accurately tracking millions of dollars.
The team also created a comprehensive implementation plan that included strategic change management processes and a communications plan to provide a roadmap for T-MSIS product owners for successful adoption and compliance.
T-MSIS Outcomes: Clean Data, Standardization, and Reliability
In the end, we delivered a comprehensive assessment of the existing system and a detailed, prioritized roadmap that would drive the clean data, standardization, efficiency, and accuracy goals for T-MSIS.
Our XRD team’s empathetic approach and organized, value-driven interactions with Medicaid stakeholder agencies and state teams were so significantly different from consultants of the past that the federal government’s Data Information Systems office recognized our team for our attention to the relationships and the fine detail this project required.
About Vervint
Vervint is a digital consultancy that fuses strategy, technology, and experience into building better technology for businesses and the people they encompass. We’re fueled by a genuine passion for what we do and love sharing in the success of our clients. With a commitment to serving organizations of all sizes and industries, we invite you to discover how our diverse expertise drives value and success. Contact us to learn more! We’d love to talk to you.
