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Industries — Healthcare & Life Sciences

Patient data deserves better than a vendor's terms of service.

For hospitals, clinics, diagnostics chains, and health-tech teams: systems that handle PHI with consent management and audit logging designed in — assistive tools that support clinicians and staff, never a substitute for clinical judgement.

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What hurts

The problems we get called about

Healthcare IT fails in specific ways: documentation burden, silos, and claim cycles that strain cash flow.

Clinical documentation eats clinical time

Discharge summaries, referral letters, and reports written by the people whose time is worth most — from information the systems already hold.

EMR silos that don't interoperate

Lab, radiology, pharmacy, and ward systems each hold a fragment of the patient; the full picture is assembled by hand, per patient, per visit.

Claims filed slow, rejected often

Manual claim assembly means missing documents, payer-rule mismatches, and rejections discovered weeks later.

Patients navigating by phone queue

Appointments, reports, and follow-ups locked behind a phone line that's busy — while staff answer the same ten questions all day.

What we build here

  • Clinical document processing: extraction and structuring with human verification
  • EMR / EHR integration and interoperability, ABDM-aligned
  • Claims automation with payer-rule checks before filing
  • Patient-facing assistants for appointments, reports, and preparation instructions — grounded in your systems, escalating to staff
  • Consent management and access audit across every integration

Built to the rules that bind you

  • DPDP Act 2023

    Health data is sensitive personal data: consent-scoped access, purpose limitation, and India-resident processing by default.

  • ABDM standards

    Ayushman Bharat Digital Mission data standards and registries treated as the interoperability baseline for Indian health data.

  • HIPAA (US-facing work)

    Where clients serve US patients or partners, PHI handling, BAAs, and audit controls are built to HIPAA requirements.

Case study

How it lands in practice

Healthcare & Life SciencesAI-ficationCustom IT Products

[ANONYMIZED] multi-speciality hospital group

Problem
Insurance claims were assembled by hand from discharge summaries, lab reports, and tariff sheets — slow to file, inconsistent, and rejected often enough to strain cash flow.
What we built
Claims automation that assembles the document set from the hospital's own systems, checks it against payer rules, and flags gaps for staff review before filing — deployed on-premise with consent-scoped access to patient records.
Measured result
  • Claim filing time cut from [X] days to [X] hours
  • First-pass rejection rate down [X]%
  • Every access to patient records consent-scoped and logged

Start with the workflow that hurts most

Claims, documentation, or interoperability — bring one, and we'll scope what fixing it properly looks like.

Discuss a healthcare build