Clinical AI
AI Care Journey
Consultation to follow-up for Ritika Sharma — AI handles intake, triage, the prescription, investigations orders and the follow-up plan. Switch tracks if the patient gets admitted.
Ritika Sharma
Moderate riskAllergy: Sulfa drugs34 yrs · Female · UHID RP-10482 · Type 2 Diabetes, Dyslipidaemia
Do this now · Step 1 of 5
Registration
Use this step when…
Front desk Saves ~6 min per patientA new or returning patient reaches the front desk and their details, ID and insurance still have to be captured.
Reads the ID and referral note, pre-fills 11 fields from past visits, verifies ABHA and flags what needs confirmation.
Key context for Registration
Patient
Ritika Sharma
Age / gender
34 · Female
UHID
RP-10482
Phone
+91 98450 11223
Last visit
2 days ago
Next review
18 Aug 2026 · HbA1c review
Key notes for this step
- Allergies: Sulfa drugs
- Moderate risk (score 62)
- Returning patient · 14 visits
AI intake form
NLP auto-extracts details from ID, referral letters and past records
Registration chatbot
Patients self-register on WhatsApp or kiosk
Data verification
Step 1 of 5 · Registration