ChikitsaVigorus AI
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AI in your workflows

AI that solves real hospital workflow problems.

Chikitsa brings AI into everyday hospital operations, from appointment booking and OPD documentation to claims, discharge summaries, analytics and patient engagement. Hospital outcomes, not agent demos.

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Raw Input Feed
Doctor Speaking

● REC LIVE99.4% Acc.
Structured outputGenerating...
Waiting for dictation...
Format: SOAPSNOMED Coded
Chikitsa AI EngineSpeech to Digital Report
USE CASE 01
Sahyogi AI

Appointment booking & patient helpdesk.

A 24×7 multilingual booking agent on WhatsApp, web and voice, backed by your real schedule and doctor availability.

0fewer drop-offs
Appointment, QMS, RegistrationModule
Sahyogi AIAI Capability
Problem

Patients drop off when phone lines are busy and front desks are overwhelmed.

AI in Chikitsa

Sahyogi triages, books and reschedules across channels with hospital context.

Impact

↓ 38% drop-off · 24×7 booking · 4× front-desk capacity

ModuleAppointment, QMS, Registration
AI EngineSahyogi AI
AI workflow questions

How AI shows up inside the hospital.

Short answers on Voice-MD, Lipi, ClaimIQ, Vaani and how AI capabilities get switched on per department.

How is Chikitsa AI different from a chatbot bolted onto an EMR?

Every Chikitsa AI capability lives inside the workflow it improves. Voice-MD writes notes during the consult; Lipi digitises prescriptions in the OPD; ClaimIQ runs automated checks before claim submission. There is no separate "AI tab"; clinicians use their existing screens.

Which Indian languages does Vaani AI support?
Does Voice-MD require special hardware?
How accurate is Lipi for handwritten prescriptions?
Can hospitals turn AI off for specific departments?
Is patient data used to train AI models?