Operational Data Platforms for Community Health and Medicaid Populations
Health IT Solutions designs and operates governance-ready data platforms for organizations working with
high-risk, high-cost populations in Medicaid and public health settings.
Our work focuses on building durable infrastructure that supports crisis response, outreach, prevention,
evaluation, and financial accountability across complex, multi-stakeholder environments.
We work with organizations that must understand who they are serving, what services are being delivered,
how people move across systems, and what outcomes and costs result over time, often across multiple partners,
funding sources, and regulatory regimes.
Our platforms are designed to remain credible under regulatory review, academic scrutiny, and funding oversight.
What We Do
We build data platforms that give organizations a coherent, trustworthy view of people, services,
outcomes, and costs across fragmented systems.
-
Bring together information describing care delivery, service utilization, outcomes, and lived experience,
including electronic health record (EHR) data, health information exchange (HIE) and health registry data,
state and federal mortality and morbidity data, patient-reported experiences and outcomes,
social determinants of health, and other external sources relevant to outreach, prevention, and evaluation.
-
Organize this information around people, episodes, services, and time,
enabling visibility into engagement patterns, transitions across settings,
and changes in utilization and outcomes before, during, and after interventions.
-
Support operational workflows for crisis outreach, prevention, care coordination,
follow-up, and continuity of care, rather than limiting insight to retrospective reporting.
-
Provide the underlying data architecture required to support operational decision-making,
evaluation, and accountability, accelerating the flow of information toward near real-time decision-making
where feasible, while preserving governance, auditability, and trust.
Learn more about the platform →
How We Work
We design reusable data models and automated pipelines that form the backbone of the platform.
These define consistent representations of people, events, services, and outcomes,
and reliably move data from source systems into governed, usable structures.
Pipelines handle ingestion, normalization, linkage, validation, and transformation,
enabling data to be used confidently across operational, analytical, and reporting contexts.
This approach allows organizations to meet immediate needs while preserving long-term flexibility
as priorities, partnerships, reimbursement models, and policy environments evolve.
Design Principles
Governance by Design
Data models, transformations, and access controls are structured from the outset
to support regulatory oversight, contractual requirements, funding conditions,
and public accountability.
Auditability and Traceability
Every derived dataset can be traced back to its source,
enabling audits, financial validation, program review,
and research reproducibility.
Consent-Aware Architecture
Consent management is embedded directly into ingestion,
transformation, and access logic, enforcing consent constraints
at the data element and cohort level.
Reuse and Extensibility
Infrastructure is designed to support new cohorts, initiatives,
reimbursement models, and partners without rebuilding core systems.
Operational Alignment
Data structures reflect how work actually happens in clinical,
outreach, care coordination, and administrative settings.
Vendor Independence
Architectures avoid lock-in and preserve organizational control
over data, models, and analytical direction.
Selected Capabilities
Electronic health record data integration; health information exchange and health registry ingestion;
state and federal mortality and morbidity data linkage; longitudinal person, episode, and service modeling;
utilization, engagement, and outcome tracking; social determinants of health integration;
patient-reported experience and outcome measurement; consent management and enforcement;
operational and financial reporting; governance and audit support; research-ready datasets;
and workflow-aligned analytics.
View detailed capabilities →
Current Work
We are currently supporting a large, urban, Medicaid-serving treatment organization operating across
residential and outpatient settings. This work integrates EHR data, regional HIE data,
patient-reported experiences and outcomes, social determinants of health,
and state and federal mortality and morbidity data to support longitudinal analysis,
operational decision-making, and evaluation over time.
The platform supports front-line outreach and care coordination workflows
while meeting governance, auditability, consent management,
and research expectations of public-sector and academic partners.
For Academic and Research Partners
Health IT Solutions builds platforms that support rigorous, longitudinal evaluation
within real-world service environments.
Systems are designed to preserve data lineage, cohort definitions, and measurement logic
while reflecting how care, outreach, and engagement actually occur.
This enables reproducible analysis, transparent methodology, and defensible findings
without requiring parallel research-only systems or artificial data extraction workflows.
Support for Value-Based Reimbursement and Cost Accountability
Platforms support value-based reimbursement and performance-based funding by producing
longitudinal, episode-based views of utilization, outcomes, and total cost of care.
Measurement logic, attribution rules, and denominators are governed and traceable,
enabling auditable quality reporting, performance attestation, compliance review,
and analysis of cost avoidance, utilization change, and outcome improvement over time.
For Funders and Procurement Reviewers
Health IT Solutions prioritizes durable, reusable infrastructure over program-specific tools.
Platforms are designed to support multiple initiatives, partners, and funding cycles
without rebuild, reducing long-term operating costs, avoiding vendor lock-in,
and preserving institutional knowledge beyond individual grants or contracts.
Investments emphasize sustainability, governance, and defensibility rather than short-lived pilot systems.