Healthcare & Life Sciences

ABDM mandates. DPDP enforcement. Patient data trapped in legacy HMIS and LIMS.

Sammati is the consent and compliance rail that turns both mandates into working pipelines, certified, evidenced, and running in 90 days.

The 2026 reality

ABDM

NHA is progressively mandating ABDM compliance for PMJAY-empanelled hospitals, FHIR R4 or lose empanelment revenue

DPDP

The DPDP Rules are notified and the compliance clock is running: consent, purpose limitation, and erasure are now engineering requirements, not policy paragraphs

Legacy estates

Patient records live in HMIS/LIMS systems that predate every one of these mandates, and can't be replaced overnight

Why a privacy policy isn't compliance

Most healthcare providers 'comply' with DPDP the way most companies comply with anything new: a policy document and hope. But consent is a data engineering problem. Which records were accessed, under which consent, for which purpose? Can you prove erasure actually happened, everywhere, including backups and downstream copies?

When the audit or the breach investigation comes, the policy document is worth nothing; the evidence trail is worth everything. We build the trail.

Sammati (सम्मति), the consent rail

  • Consent enforced in the pipeline, not promised in a policy: purpose limitation, consent artefacts, and verifiable erasure as code
  • ABDM/FHIR R4 compliance for HMIS and LIMS vendors, certified in 90 days
  • DPDP-ready record systems for hospitals and diagnostic chains, with evidence trails for every access

Sammati enforces consent in the pipeline itself: every data flow carries its consent artefact and purpose; access outside purpose is blocked, not logged-and-hoped; erasure is verifiable, not aspirational. It sits on the same evidence-grade chassis as our banking rail, because we learned provenance discipline in regulated pharma and Tier-1 banking, where every number must carry its evidence.

Pricing: Fixed-fee compliance sprint + monthly rail subscription per facility or per product.

Claims Desk · Suraksha Multispeciality
Submitting via NHCX to 6 insurers · powered by Pravah rails (Datadives) · fictional data
87.4%
First-pass acceptance
6.2 days
Avg TAT
214
Stuck > 7 days
₹2.1 Cr
Receivables at risk
Submitted today
186
auto-built from HIS discharge batch
With insurer
214
TAT clock running
Query raised
41
insurer wants documents
Approved / paid
2743
this month
Rejected → resubmit
118
root-caused by rupee impact
Where the ₹2.1 Cr is stuck, denial reasons by rupee impact (₹ lakh)
fix the top two reasons → recover ~64% of stuck receivables
Tariff / package code mismatch
₹46.2L
Pre-auth reference missing
₹31.8L
Policy inactive on admission date
₹18.4L
FHIR bundle validation failures
₹14.6L
Duplicates & others
₹10.9L
Pravah's fix for #1 and #2 is structural, not manual: package-code mappings are proposed once, confirmed by your billing lead, then frozen, and pre-auth waivers auto-attach evidence. Rejection classes get closed, not just cleared.

ABDM Compliance Rail, FHIR R4 in 90 days

We take HMIS/LIMS vendors through FHIR R4 certification in 90 days, and run compliance + incentive-recovery rails for diagnostic chains and hospitals, priced on outcomes.

Who we work with

HMIS/LIMS vendors

FHIR R4 certification in 90 days, then Sammati as your embedded DPDP layer, a selling point to every hospital you pitch.

Diagnostic chains & hospitals

ABDM incentive recovery, DPDP-ready record systems, and evidence trails for every access.

Health-tech & pharma

Consent-clean data pipelines for products and research, the difference between 'we anonymized it' and proving it.

The mandate has a date. Your data doesn't care.

Fixed-fee compliance sprint: know exactly where you stand on ABDM and DPDP in three weeks.