Operational Health Data Platforms for Public Health and Medicaid Populations

Health IT Solutions designs and operates governance-ready data platforms for organizations working with high-risk, high-cost populations. Our work focuses on building durable infrastructure that supports crisis response, outreach, prevention, evaluation, and financial accountability across complex public-sector environments.

We specialize in environments where data must be integrated across clinical systems, public health infrastructure, and external partners, and where systems must remain credible under regulatory, academic, and funding scrutiny.

What We Do

Integrate electronic health record (EHR) data, health information exchanges (HIE), other health registries, state and federal mortality and morbidity data, patient-reported experiences and outcomes, survey data, social determinants of health, and external data sources
Model people, episodes, services, utilization, and outcomes longitudinally
Support operational workflows for crisis outreach, prevention, care coordination, and follow-up
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

How We Work

We design reusable data models and pipelines that can support multiple initiatives over time. This allows organizations to respond to immediate operational needs while preserving long-term flexibility as priorities, partnerships, reimbursement models, and policy environments evolve.

Design Principles

Governance by Design

Data models, lineage, and transformations are designed to support oversight, review, and accountability from the outset, including regulatory, contractual, and funding-related requirements.

Auditability and Traceability

Every derived dataset can be traced back to its source, supporting regulatory review, program oversight, financial validation, and research reproducibility.

Consent-Aware Architecture

Consent management is embedded directly into data ingestion, transformation, and access logic. Systems are designed to enforce consent constraints at the data element and cohort level, supporting environments with heightened privacy requirements and evolving consent policies.

Reuse and Extensibility

Infrastructure is designed to support new cohorts, use cases, 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

EHR and HIE integration, health registry ingestion, state and federal mortality and morbidity data linkage, longitudinal cohort modeling, utilization and outcome tracking, social determinants of health integration, patient-reported experience and outcome measurement, consent management, operational and financial reporting, governance and audit support, research-ready datasets, and workflow-aligned analytics.

Current Work

We are currently supporting a large, urban, Medicaid-serving treatment organization operating across residential and outpatient settings. This work involves integrating electronic health record data, regional health information exchange data, patient-reported experiences and outcomes, social determinants of health, and state and federal mortality and morbidity data to support longitudinal cohort analysis, operational decision-making, and evaluation of engagement, retention, utilization, and outcomes over time.

The platform is designed to support front-line outreach and care coordination workflows while also meeting the governance, auditability, consent management, and research requirements of public-sector and academic partners.

Support for Value-Based Reimbursement and Cost Accountability

Health IT Solutions designs platforms that support value-based reimbursement arrangements and performance-based funding models. Our systems are built to:

Produce longitudinal, episode-based views of utilization, outcomes, and total cost of care
Support attribution, cohort definition, and measurement periods required for value-based arrangements
Generate auditable inputs for quality reporting, performance attestation, and compliance review
Enable analysis of cost avoidance, utilization reduction, and outcome improvement over time
Support documentation and evidence required to substantiate cost savings and return on investment

This allows organizations to align operational activity, clinical outcomes, and financial accountability within a single analytical framework.

For Academic and Research Partners

Health IT Solutions builds platforms that support rigorous evaluation without disrupting operations. Our systems are designed to:

Enable longitudinal cohort construction across clinical, administrative, and public health data
Preserve source-level traceability and data lineage
Support reproducible analysis and transparent methodology
Separate operational data flows from analytical datasets
Accommodate evolving research questions without re-engineering pipelines

We work at the intersection of applied operations and academic inquiry, supporting partnerships where methodological rigor and real-world constraints must coexist.

For Funders and Procurement Reviewers

Health IT Solutions focuses on durable infrastructure rather than short-lived program tools. Our approach is designed to:

Maximize reuse across initiatives, reimbursement models, and funding cycles
Reduce long-term operating and maintenance costs
Minimize dependency on proprietary systems
Support compliance, reporting, audit, and oversight requirements
Preserve institutional knowledge beyond individual grants, contracts, or personnel

Investments made in this infrastructure continue to deliver value as programs evolve, scale, or sunset.

Learn More

For organizations seeking additional detail, a concise capability brief is available describing platform architecture, data flows, consent management approach, governance models, and deployment patterns.