
Triage in seconds. Document while treating.
Bill without slowing down the resuscitation.
Built for the chaos of an Indian casualty department: walk-ins at 2 AM, ambulances arriving with no notice, family members in panic. Register fast. Triage faster. Document while treating. Convert to admission or OPD without re-typing.
HIS module
Emergency / Casualty
AI inside
AI Patient Registration
Sub-60-second admit
AI MediScribe
Document while treating
<60 sec
ER registration ยท was 5โ8 min
The ER is the part of every Indian hospital where slow software causes the most damage.
Registration takes 5 minutes โ patient is bleeding
Triage is done on a paper slip
Casualty MO writes notes on a scrap of paper, types them later
Critical drugs given but not recorded for 30 minutes
Patient gets shifted to ICU โ ER documentation lost in transit
Family wants the bill โ half the items aren't in the system yet
The ER cannot pause for the software. The software has to keep up with the ER.
Every workflow you'd expect.
Plus the AI parts you don't.
Sub-60-second registration โ voice or ID upload, even before billing details are known
Triage โ colour-coded (Red / Yellow / Green) with timestamps
Rapid clinical capture โ vitals, complaint, exam, working diagnosis
Order sets โ pre-built for common ER presentations (chest pain, MI, trauma, sepsis, stroke)
Drug administration log โ every dose timestamped
Procedure capture โ intubation, CPR, suturing, plaster, catheterisation
Disposition workflow โ discharge / admit to IPD / refer / DAMA / death
Auto-bill โ ER charges and procedures flow to bill
MLC workflow โ police intimation, MLC register entry, attendant captures
Specialist agents,
not generic AI.
AI Patient Registration
Sub-60-second admit
Voice or ID-card upload registers a patient in under a minute โ even with the patient unconscious and only the attendant present.
AI MediScribe
Document while treating
The casualty MO speaks during examination โ note is structured in real time. No โI'll type it later.โ
The full checklist โ nothing missing.
Not a silo. A connected workflow.
Before vs. after โ measured in real hospitals.
Built for these hospitals in particular.
24ร7 ER hospitals
Trauma and cardiac emergency centres
Hospitals with high MLC volumes (highway-side, urban)
Hospitals where ER is the largest IPD admission funnel
Multi-location chains needing standardised ER documentation
Questions hospital teams actually ask.
More questions? Bring them to the demo โ we'll walk through the workflow on a real hospital scenario.
Run an ER that doesn't lose 30 minutes per patient to typing.
Book a demo and see the ER workflow on a real triage scenario.