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Healthcare. Clinical data, quietly useful.

Providers, payers, and life sciences. We integrate EHRs, build population health and claims platforms, modernize revenue cycle, and apply AI where the accuracy bar is measured by patient outcomes.

Capabilities

What we build and run.

  • EHR integrations

    Epic, Cerner, Meditech. FHIR-first integrations with the surrounding stack. Interface engines operated like production software, not side projects.

  • Population health analytics

    Patient panel analytics, risk stratification, and care gap closure reporting. Built on the clinical data you already own.

  • Claims and revenue cycle

    Claims pipelines, denial analytics, and the automation that cuts A/R days without cutting coding accuracy.

  • Clinical AI, deployed with guardrails

    Document extraction, clinician note summarization, prior authorization support. Evaluated against the accuracy gates a clinical lead will sign off on.

  • HIPAA-ready operations

    Cloud, data platform, and security operations with HIPAA evidence collected continuously. BAAs covered end to end.

  • Life sciences data platforms

    R&D data integration, clinical trial analytics, and the commercial analytics stack for launch readiness.

Typical outcomes

What gets shipped most.

  • A/R days down

    Claims pipeline and denial analytics tuned until the metric moves and stays moved.

  • Cleaner patient panel analytics

    Risk scores, gap closures, and outreach lists clinicians will act on. Not a dashboard that sits unused.

  • Prior authorization friction reduced

    Document extraction and rules together cut the manual review queue and the turnaround time.

  • Audit-ready compliance posture

    HIPAA and HITRUST evidence collected on a schedule. Auditor fieldwork becomes a conversation, not a scramble.

Stack

Stack we see most.

  • Epic
  • Cerner
  • Meditech
  • Athenahealth
  • HL7 FHIR
  • Mirth Connect
  • Snowflake
  • Databricks
  • Azure Health Data Services
  • AWS HealthLake
  • Salesforce Health Cloud
  • Rhapsody
  • Redox
  • Vanta
  • Drata
  • HITRUST
FAQ

Questions we get.

Do you sign BAAs?
Yes. Business Associate Agreements are standard. Our managed-services engagements cover the HIPAA obligations that come with them.
Can you integrate with a specific EHR version?
Likely. We work across Epic, Cerner, Meditech, Athenahealth, and the smaller players. If we have not touched a specific variant, we say so up front.
How do you handle PHI in AI systems?
De-identification where feasible, scoped access where not. Prompt and output logging with redaction. Clinical review gates before deployment.
What about HITRUST certification?
We support HITRUST readiness inside the managed arrangement. We are not an assessor, but we prepare the evidence and work with yours.
Can you help with life sciences commercial analytics?
Yes. Launch readiness, HCP segmentation, payer analytics, and field force effectiveness. Snowflake or Databricks is the most common substrate.

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