Population
Households, ABHA, births, deaths
PranaPrimary healthcare · India
Primary care, joined up.
From the ASHA’s doorstep to the state command centre — one family health record, online or offline, in five languages.
1family health record
23roles
28national systems
5languages
Why Prana
One record — not one portal per programme.
The problem
The same visit, entered again and again
Registers and portals hide stock-outs and lost referrals.
The answer
One record for the care chain
Every programme register built from the same data.
For
Everyone who keeps a district healthy
ASHAs and CHOs to state managers.
Modules
Household to state, one platform.
Front desk
Registration, queue, triage
Consultation
Diagnosis, e-prescription, safety checks
Programmes
Maternal, child, NCD, TB
Inpatient
Admission, labour room, discharge
Laboratory
Orders, samples, results
Pharmacy
Stock, cold chain, alerts
Referral
Closed-loop, teleconsult
Field workforce
ASHA app, home visits
Surveillance
Outbreak early warning
Operations
Rosters, funds, NQAS
Command centre
Dashboards, auto HMIS
On synthetic data
Consultation room to command centre.
Point of care
Diagnose, prescribe, check — one record.
- ICD-10 diagnosis and guideline e-prescription.
- Safety checks warn, never block.
- Instructions in the patient’s language.
Programmes
Every register from the same data.
- ANC, immunisation, NCD, TB built in.
- Sensitive records masked.
- Monthly reports build themselves.
Integration
28 national systems.
Built to connect
A portal outage never blocks care.
Messages queue, retry and are audited.
- ABDM
- U-WIN
- RCH
- NCD
- Ni-kshay
- IHIP
- NHCX
- HMIS
- PFMS
- DigiLocker
- HFR
- HPR
- e-Sanjeevani
Principles
Built for where care happens.
Caution, never block
Overrides allowed, always audited.
Works offline
Syncs when the signal returns.
Privacy by design
DPDP-aligned consent and audit.
Record once
Reports flow without re-entry.
Book a demo
See Prana run a district.
A demonstration shaped to your workflows. It starts with a conversation.
Demonstration uses synthetic data. Clinical defaults are validated by each state before use.
More from Whinora