TechVariable helps US healthcare teams enable interoperability, data foundations, and analytics workflows for Value-Based Care use-cases.
Our work typically includes integrating clinical and claims data, normalizing it using healthcare standards, and enabling downstream analytics and workflows for care gaps, quality measures, care coordination, risk stratification, and CMS-aligned programs.
We work best with:
• Healthcare technology and product companies
• Value-Based Care enablement platforms
• Analytics and data platforms operating in healthcare
• Organizations supporting CMS-aligned or VBC programs
If your product or service depends on trusted clinical and claims data, we are usually a strong fit.
Our primary focus is US healthcare.
Our domain expertise, delivery practices, and frameworks are built specifically for healthcare interoperability, data engineering, and regulated environments.
No.
We are a technology enablement and services partner.
We do not sell a packaged platform. We work with your team to design and implement the data, interoperability, analytics, and workflow capabilities needed for your specific use-case.
Interoperability enablement means making healthcare data usable and trustworthy across systems, not just moving data from point A to point B.
In practice, this includes:
• Integrating data across EHRs, claims systems, and operational tools
• Normalizing data using standards like FHIR, HL7v2, CDA, and terminologies
• Preparing analytics-ready datasets for downstream workflows and reporting
Interoperability is the foundation that enables Value-Based Care use-cases to function reliably.
Most engagements start with a short discovery phase to align on:
• Data sources and standards in scope
• Target use-cases and workflows
• Constraints, risks, and success criteria
From there, we propose an execution plan with clear milestones, sprint cadence, and delivery ownership.
We provide an initial range based on scope and complexity, then refine it after discovery.
Healthcare integrations often vary widely based on data quality, system constraints, and standards implementation. We plan and price with explicit assumptions to avoid surprises later.
We typically work in two models:
• Dedicated Pod Model
A cross-functional team delivering on a sprint cadence.
• Fixed Scope / Fixed Price
Used when requirements and acceptance criteria are clearly defined.
We’ll recommend the model that best fits the use-case and delivery risk.
Yes.
We can assess your current architecture, codebase, data pipelines, and integrations, then propose a stabilization and recovery plan. Our initial focus is restoring reliability, observability, and trust before expanding scope.
“Done” means the system is operationally reliable, not just deployed.
That typically includes:
• Predictable data pipelines
• Normalized and governed datasets
• Traceable logic and outputs
• Downstream teams able to use the system without constant manual reconciliation
Yes.
We design systems with healthcare security and privacy requirements in mind, including access controls, audit logging, and secure development practices. Compliance requirements vary by context, so we align early on what controls and standards apply.
We follow principle-of-least-privilege access, environment segregation, audit logging, and secure data handling practices.
When required, we work within client-controlled environments and access models.
Yes.
We routinely sign NDAs, and we can support BAAs when an engagement involves handling PHI.
The work we deliver for you is yours.
IP ownership and usage rights are clearly defined in the contract, and our team follows strict confidentiality and security practices.
We offer ongoing support based on your needs, which may include:
• Monitoring and issue resolution
• Enhancements and extensions
• Documentation updates
• Adaptation as data sources, standards, or requirements evolve
We emphasize:
• Clear data lineage and traceability
• Validation checks and quality controls
• Versioned transformation and calculation logic
• Documentation that explains how outputs are derived
This makes systems defensible and review-ready, not opaque.
Yes.
We can share walkthroughs that demonstrate how similar use-cases are typically enabled, and we can run a short discovery to validate feasibility, risks, and a practical delivery plan before full commitment.
We’re a good fit if:
• You’re building or scaling Value-Based Care capabilities
• You need interoperable, analytics-ready healthcare data
• You value responsible execution over quick demos
• You want a partner who builds with your team, not a black box
If that sounds aligned, a conversation usually makes sense.
