A Digital Health Initiative aligned with ABDM · Government of India

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Solution

A complete clinical intake, finished before the consultation starts

SwasthaSetu enables any patient — regardless of literacy, language or digital comfort — to independently complete a comprehensive clinical history and document intake before seeing the doctor.

Four Platform Modules

AI is an enabling layer, not the identity of the product. The product is the patient's healthcare journey and the clinician's prepared workflow.

Module A

AI Clinical History Engine

  • Voice and touch interview, one question per screen
  • Eight Indian languages with audio prompts
  • Adaptive questioning via SOCRATES and OLDCARTS frameworks
  • Dedicated AYUSH mode (Dashavidha Pariksha)
  • Red-flag detection for STEMI, stroke, acute abdomen, psychiatric emergency
Module B

Document Digitisation & Intelligence

  • Scan or upload prescriptions, lab reports, discharge summaries, imaging
  • Tiered OCR: printed, handwritten, manual-review flagging
  • Clinical entity extraction — diagnoses, drugs, dosages, lab values
  • Chronological timeline with abnormal-value highlighting
  • Drug interaction and duplicate-test alerts
Module C

Structured Summary Generator

  • Physician-ready summary in standard clinical format
  • Editable draft — accept, amend or reject any section
  • Bilingual: patient hears their history, clinician reads English/Hindi
  • Pushed to the consultation terminal when the token is called
  • Stored as FHIR resources for interoperability
Module D

Consent, Privacy & ABDM Layer

  • ABHA authentication, or assisted ABHA creation via Aadhaar OTP
  • Granular, audio-explained, revocable consent
  • FHIR push to ABDM HIE and hospital HIS
  • Session purge of raw voice and scan data after confirmation
  • DPDP Act 2023 compliant, TLS 1.3 and AES-256 encryption

End-to-End Patient Journey

  1. Step 1

    Identify

    ABHA login, language selection, audio-guided consent

  2. Step 2

    Converse

    AI interview, voice + touch, adaptive questions, AYUSH mode

  3. Step 3

    Scan

    Upload documents, OCR and extraction, timeline, abnormal flags

  4. Step 4

    Summarise & Route

    Structured summary pushed to HIS and linked to ABHA

  5. Step 5

    Consult

    Doctor reviews the draft before the patient enters the room

Platform Differentiators

Practical additions beyond the core problem statement that make real-world deployment work.

FeaturePurpose
Online + Offline SyncPortal works offline in low-connectivity hospital environments; syncs when the connection returns
Verified Provider GatingOnly NMC / State Council / AYUSH-registered providers can add checkup data — ensuring data credibility
Provider Adoption IncentivePatients prefer verified providers whose records appear on the portal, driving organic adoption
Insurance / Mediclaim VisibilityPolicies visible with waiting-period status; hospitals can verify coverage instantly
Regular Medication TrackerChronic medications for thyroid, diabetes, hypertension tracked persistently across visits
Emergency Fast-TrackAccident and emergency patients processed faster — history available instantly via ABHA lookup

Sample Physician Summary

Ramesh Kumar (M / 54 yrs)

ABHA: 91-8273-9481-22

Dept: General Medicine · Token #47 · Kiosk Intake #1024

AI Intake Draft — Awaiting Review
Chief Complaint

"Chest pain for 3 days, worsening on exertion"

History of Present Illness (HPI)

Onset
3 days ago, gradual
Character
Squeezing, retrosternal
Radiation
Left arm
Aggravating
Exertion, climbing stairs
Relieving
Rest
Severity
6 / 10

Past Medical & Family History

Conditions:Type 2 Diabetes Mellitus (2018)Hypertension (2020)
Family History:

Father: MI at age 55 · Mother: Type 2 DM

Medications & Allergies

Tab Metformin 500mg BDTab Amlodipine 5mg OD
Allergies:Sulfonamides (Rash)

Prior Investigations (Extracted from Scanned Documents)

Test NameRecorded ValueDateStatus Flag
HbA1c7.8 %3 months agoABOVE RANGE
LDL Cholesterol165 mg/dL3 months agoABOVE RANGE
Resting ECGNormal sinus rhythm6 months agoNORMAL
TRIAGE ALERT / RED FLAG DETECTED

Exertional chest pain + family history of MI → Recommend urgent cardiac evaluation & stat ECG.

Decision Support Mode · Doctor responsibility unchanged
Physician: edit / confirm / reject. This is an AI-generated draft — never a diagnosis and never an autonomous medical record.