Each state’s Medicaid program faces unique issues throughout the policy process. Mathematica’s digital solutions team helps states through that process, producing insights on the effectiveness of their policies.
The right data analytics solution should drive program improvement, but to achieve this goal, it must be a solution that solves a policy or business problem. This is why our analytic solutioning begins with discussions with programmatic stuff to understand current challenges and to clearly articulate policy problems and requirements. We meet state Medicaid agencies where they are, bringing systems and solutions architects together with policymakers to find the right path forward.
Together we identify and transform the data needed to quantify the problems or track policy changes. We then help you to identify or develop outcome-based metrics to monitor and evaluate programs, with a focus on quality improvement and system transformation.
We identify and apply data management, analytic, and visualization techniques to data curated for the problem space, generating information you can use to gauge policy efficacy, make decisions, report progress, and seize opportunities.
In our technology-driven world, it’s important to stay human-centered. We combine our expertise in policy and analytics with human-centered design to get to the heart of the problem and iterate toward the best solution.
Learn MoreMathematica can work directly in your secure cloud, our secure cloud, or on-premises environments following your security protocols, or we can ingest your raw data into our secure cloud environment. Our cloud environments follow a defense-in-depth strategy, where layers of security, privacy and data protection controls block unauthorized access to, and use of, data. Our data storage solutions—data lakes, data warehouses, and data marts— are built to the FedRAMP and NIST 800-53 Moderate security control baselines, which are the gold standard control frameworks across federal and state government health organizations.
Our data storage architecture accounts for your needs related to the volume of data processed and stored, the types of analytics to be performed, the frequency of reporting, and the format of the output. Our solution suite includes the ability to store structured or unstructured data at scale, provides interoperability using many formats such as FHIR or Hl7, and uses commercial off-the-shelf (COTS) tools to facilitate data ingestion.
Bad data make it impossible to ask insightful questions and receive accurate answers. Mathematica has a robust data quality and quality assurance framework that verifies data are complete and accurate at all stages of the data and analytics life cycle. Defining data quality requires an understanding of the context for that data. Our deep subject-matter expertise in Medicaid, human services, and public health policy, operations, and data enables us to design data quality frameworks that support policy and operational decisions. These frameworks systematically evaluate large-scale data sets for completeness and integrity through automated data validation. They also include program-specific business validation rules that ensure the data are clear and understandable in the real world.
Learn how we're using our data quality tool, Imersis, to help Maryland improve their Medicaid data and, as a result, see better health outcomes through customer service and program integrity.
Learn MoreWe apply our expertise at the intersection of data, methods, policy, and practice, combining increasing computational power and technology with abundant and diverse information, to gain evidence-based insight for our clients. Analytic models are mathematical techniques for quantifying relationships between data elements, identifying patterns within data sets, or predicting events or outcomes using available data. Such models can help policymakers and program administrators improve their current programs and prepare for the future. We deploy various analytic approaches based on the data available and the question to be answered, from descriptive statistics to generative artificial intelligence.
Business intelligence (BI) is a set of methodologies, processes, architectures, and technologies that transform raw data into meaningful information for strategic, tactical, and operational decision-making. BI allows Medicaid agencies to visualize and tell a story with data pulled from a variety of sources. The filtered data can be easily exported for presentations and further analysis.
These interactive visualizations can be shared publicly or securely to privileged users with the capability to control access and functionality. We also build self-service BI functionality so that privileged users can access data elements to build and share their own reports, dashboards, and visualizations.
Mathematica is not beholden to certain BI tools – we configure to the agency solution using a multitude of tools and methods that fit the specific challenge.
The Olmstead vs. L.C. Supreme Court decision requires public entities to provide community-based services to people with disabilities if such services are appropriate, are desired by the individual, and can be reasonably accommodated.
North Carolina’s Department of Health and Human Services hired Mathematica to develop a platform that gathers data from Medicaid, housing, employment, and other community-based service providers and transforms the data into useful information.
Through an interactive dashboard, decision makers at the Department of Health can monitor the effectiveness of Transitions to Community Living services to help eligible adults with serious mental illnesses live independently where they want to be.
Learn MoreTo connect with one of our experts on this project or to get more information about these tools, please send an email to info@mathematica-mpr.com.
