Launch multilingual voice follow-ups in days, not months. We handle the Indic speech pipeline, FHIR/ABDM compliance, and multi-layer triage escalation.
M • 68 Years • ABHA: 91-2341-8762-0011
Language
Hindi / Bhojpuri
BP
139/85
Risk Score
HIGH (62.9)
AI Agent (Hindi):
“Namaste, kya aapko dawai lene ke baad seene mein dard ho raha hai?”
Patient Response:
“Haan ji, kal raat se halka dard hai.”
Angina Pectoris
SNOMED: 194828000
Building compliant Indic voice AI traditionally requires assembling STT models, FHIR mappers, consent frameworks, and triage engines. Swadhikaar bundles it all into a single platform.
FHIR R4 bundles, SNOMED/LOINC coding, and Digital Personal Data Protection Act 2023 consent flows built-in.
Care coordinators review, approve, or correct AI extractions. Human feedback improves accuracy over time.
AI severity triggers 3-tier escalation. CRITICAL: <5 min, HIGH: <1 hr, MODERATE: <24 hr response.
Automated follow-up calls in Hindi, Bhojpuri, and Maithili over a real telephony trunk. Handles code-switching naturally.
Voice data is automatically extracted, coded with SNOMED CT / LOINC, and mapped to ABDM R4 FHIR profiles.
POST
supabase.functions.invoke("export-abdm")
{
"patient_id": "abha-91-2341",
"call_id": "vc-2938-a",
"profile": "ABDM-R4"
}
Critical findings are auto-escalated via Supabase Realtime. Multi-layer triage ensures right response time.
Run voice follow-ups for screened patients without building a call center. Reach rural communities in their own language.
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Weekly automated check-ins for elderly patients. Medication adherence tracking and instant escalation to physicians.
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Scale patient engagement across districts. ABDM-compliant data pipeline with full audit trails and consent management.
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Built for Indian healthcare budgets. Free tier for NGOs and health camps.