Careplots combines healthcare domain expertise, modern data engineering and AI-driven analytics to help government, research and commercial organizations build stronger data systems, evaluate programs and improve decision-making.
Experience across federal healthcare and research programs, state data organizations, and nationally recognized research institutes.
Includes direct, subcontract, consortium, and team-member project experience, as applicable.
Experience metrics describe the scale and breadth of datasets, programs and organizations supported; they do not imply that Careplots directly administered every represented life or organization.
We work where complex data, policy questions and operational requirements meet—from ingestion and linkage to analysis, modeling, secure research and decision support.
Collect, validate, standardize, link and enrich claims, clinical, survey, registry, provider and open-source data.
Machine learning, semantic linkage, anomaly detection, explainable risk scoring and advanced quantitative analytics.
Real-world evidence, health economics, program evaluation, financing, access, quality, disparities and outcomes.
Linked-data architectures and peer-normalized approaches to identify patterns, outliers and fraud, waste and abuse risk.
Design and operations for controlled research and analytics environments supporting sensitive federal and state data.
Reusable analytic datasets, algorithms, crosswalks, dashboards and software components that shorten time to insight.
Our differentiator is the combination of healthcare business knowledge, data infrastructure expertise, research methods and modern AI.
Company announcements, selected project experience, research and policy work, AI and data-linkage initiatives, program integrity capabilities, and major partnerships.
Careplots was selected as a small-business teaming partner supporting Westat on the CMS Innovation Center Research, Measurement, Assessment, Design, and Analysis 3 (RMADA3) IDIQ.
Careplots joined an NSF America's DataHub Consortium project focused on linked data and fraud-detection models for public healthcare programs.
Careplots and Westat launched collaborative work examining antipsychotic prescribing in children, applying healthcare data and analytic methods to an important child-health and medication-use question.
Large-scale Medicare and Medicaid analyses supporting behavioral health financing, access, utilization and disparities research.
AI models, linked data and risk analytics supporting public healthcare program integrity research in secure environments.
Semantic matching and ML methods to improve difficult crosswalk and linkage workflows within controlled research infrastructure.