One Learn AI
NVIDIA Inception Program member

Snap the case sheet.
Get the discharge summary.

Even if it's handwritten. Even if 4 doctors wrote it. Even if it's in 3 languages. AI Discharge Summary reads doctor notes, nursing charts, vitals sheets and clinical scribbles — and produces a complete, NABH-grade discharge summary in minutes.

Works on photos Works on scans Illegible OK NABH-aligned

Cardiology · IP-44281

Mr R. Mehta · 54M · NSTEMI

C/o crushing chest pain × 1 hr · diaphoresis +

h/o HTN, T2DM · smoker 20py

O/E: PR 96, BP 130/80, S1S2+, chest clear

Trop-I 4.8 · ECG: ST↓ V2–V5

→ DAPT loaded · Atorva 80 · Plan: Cath D2

Cath: LAD 80% → PTCA + DES (15/04)

D3: pain free, mobilising · cont DAPT

D4: stable, fit for d/c · cardio f/u 2w

— Dr A. Rao18/04 · 09:42
Discharge Summary · Draft
Generated in 11s

Patient

Rahul Mehta · M · 54 · MRN 442819

Diagnosis

NSTEMI · Type 2 DM · HTN

Procedure

Coronary angio · LAD 80% → PTCA + DES (15 Apr)

Course

Admitted ED with chest pain. Trop-I 4.8. DAPT loaded. Single-vessel intervention on D2. Uneventful recovery. Mobilised D3.

Medications

Aspirin 75 OD · Ticagrelor 90 BD · Atorva 80 HS · Metoprolol 25 BD · Ramipril 2.5 OD

Follow-up

Cardiology OPD in 2 weeks · HbA1c & lipids in 6w

For the patient · Hindi

आपको दिल का छोटा दौरा पड़ा था. एक नस में रुकावट थी जो हमने स्टेंट से खोल दी. 5 दवाएँ रोज़ लें. 2 हफ्ते में हृदय रोग OPD में दिखाएँ.

ICD-10: I21.4 · NABH-alignedSign & release
The hook · the cost

Patient ready at 11 AM.
Discharge summary ready at 4 PM.
That bed earned you nothing for 5 hours.

01

Paper case sheet

Handwritten by doctors across morning, evening & night shifts

02

Paper nursing notes

Written by 6–8 nurses across 3–4 shifts

03

Junior doctor typing

2–4 hours per discharge reading messy handwriting

04

Family at billing

Frustrated, waiting, asking when the bed will be free

05

Bed stays blocked

₹3,000–₹15,000/hour in lost revenue

06

TPA file incomplete

Insurance claim stuck in queries for weeks

The hospital pays twice for every discharge — once in lost bed-hours, once in delayed reimbursement.

This isn't a “go fully digital” problem. Most hospitals have tried — and failed — because doctors and nurses will not give up the pen. The pen is faster. The pen is trusted. The pen is reality.

AI Discharge Summary doesn't ask you to give up the pen. It works with the pen.

Introducing

The bridge between your paper case sheet and your digital discharge.

AI Discharge Summary is an Indian-built engine that does one thing brilliantly: it turns clinical notes — in any form — into a complete, billable, NABH-grade discharge summary.

Handwritten doctor case sheets

Photo or scan

Nursing notes & vitals charts

Hand-written

Medication & treatment sheets

Even scribbled Rx

Lab & radiology reports

PDF or image

Typed notes from EHR

If you have one

Voice-recorded ward rounds

+ AI MediScribe

The promise · one line

From scribbled paper to signed discharge — in under 10 minutes.

The big USP

This is the part nobody else in India can do.

Most “AI discharge” tools need clean, typed, structured EHR data. That isn't the reality of Indian healthcare. The reality is paper, scribbles, multiple authors and three languages on one chart. We read all of it.

01

Capture

Take a photo on a phone. Or scan with a desktop scanner. Upload one page or fifty — single patient or batch.

02

Recognise

Handwriting recognition trained specifically on Indian medical handwriting — abbreviations, Latin shorthand, regional-language interjections.

03

Understand

AI groups text by author, date, shift and clinical section. A nursing note doesn't get mixed with a doctor's order. Day-3 doesn't override Day-5.

04

Generate

A complete summary — Chief Complaint, History, Course in Hospital (day-wise), Investigations, Procedures, Treatment, Meds, Advice, Follow-up.

05

Review & Sign

Doctor opens on tablet, edits if needed, signs. Hospital saves digital audit-ready copy. Patient takes home a printed copy. The bed is free.

The pen stays in your doctor's hand. The discharge summary becomes digital anyway.

What it reads

If a human can read it, our AI can read it.
Most of the time, our AI reads it better.

01

Handwritten doctor notes

Admission, progress, op, consult opinions

02

Handwritten nursing notes

Shift notes, vitals, intake/output, MAR

03

Pre-printed forms w/ handwritten fields

Anesthesia, OT, ICU monitoring

04

Mixed-language notes

English + Hindi + regional script

05

Multi-author case sheets

Many shifts · residents · consultants

06

Lab & radiology reports

PDF, scan, or phone photo

07

Discharge medication scribbles

The classic 'scribbled Rx'

08

Typed EHR data

Pulls from your EHR too, if you have one

One discharge can have 30 pages of mixed paper + digital input. AI Discharge Summary handles all of it in a single workflow.

How it works · end-to-end

From admission to discharge — in 3 steps your nursing supervisor will love.

01

Capture during the stay

Live mode: nurses photograph the case sheet at end of every shift — the AI keeps building the summary in real time. Or end-of-stay mode: scan the entire file in one batch when discharge is initiated.

Two ways to use it

02

AI generates the draft

In 2–10 minutes (depending on length of stay and number of pages), the system produces a complete, structured discharge draft — already formatted to your hospital's NABH template.

2–10 minutes

03

Doctor reviews, signs, releases

Treating doctor reviews on a tablet or PC, edits, and signs. Final PDF generated. Patient gets printed copy. TPA file gets digital copy. EHR gets structured data. Bed released.

Bed released

For hospital owners

Not a documentation tool.
A bed-turnover tool.

For the hospital owner, AI Discharge Summary isn't about “AI is the future.” It's about real numbers, this quarter — bed-hours saved, TPA cycles compressed, residents back in clinical work.

01

Bed-blocking drops dramatically

Discharge summaries that took 3–4 hours now take 10–20 minutes. Each bed earns you 2–3 extra hours of clinical use, every single day.

+2–3 hrs / bed / day

02

TPA & insurance cycle compresses

Complete, structured, NABH-grade summaries — TPA queries drop, claim rejections fall, and your AR cycle shortens by 7–15 days on average.

AR cycle −7 to −15 days

03

Residents do clinical work, not clerical

RMOs and DNB residents stop spending half their day typing. They go back to learning medicine. Training quality goes up. Attrition drops.

Residents back in clinical hours

04

Medico-legal protection improves

Every summary is complete, legible, timestamped and signed. No more 'the handwriting was unclear' defence collapsing in consumer court.

100% legible · audit-trail signed

05

Works without going fully digital

Even a 100-bed nursing home running entirely on paper can use AI Discharge Summary from Day 1 — no full EHR rollout required.

Day 1 · no EHR project

The numbers

The math is simple.
The bed-hours are real money.

Time to produce a discharge summary2–4 hours10–20 min
Bed-block time at discharge4–6 hours< 90 min
TPA query rate per discharge30–45%< 10%
Insurance claim cycle35–60 days20–30 days
Junior doctor hours / day on summaries3–5 hours< 1 hour
NABH discharge completeness55–70%95%+

200-bed hospital · 60% occupancy

₹40₹80 lakhrecovered / year

…from bed-hours alone. Add the insurance-cycle improvement and most hospitals see payback inside one quarter.

Who it's for

Built for Indian hospitals — paper-heavy, digital, or somewhere in between.

Paper-based hospitals (no EHR yet)

You don't need to digitise your case sheet. Just photograph the file at discharge — AI Discharge Summary gives you an EHR-grade discharge without an EHR project.

Hospitals with basic HMIS (billing-only)

You have a billing system but no clinical EHR. AI Discharge Summary fills the clinical gap — and pushes structured data into your HMIS for the bill.

Full-EHR hospitals

You have an EHR but doctors still write on paper for speed. AI Discharge Summary captures both worlds and produces a unified summary.

Multi-site hospital chains

Standardise discharge quality across every unit and every city — without standardising every doctor's documentation behaviour.

Specialty hospitals (cardiac, oncology, transplant)

Long, complex stays with dense clinical detail. Handles 30-page, multi-week, multi-author files in a single workflow.

Insurance & TPA desks

Even if your hospital doesn't buy it for the doctors, your insurance desk will buy it just to clear the TPA backlog.

Security · compliance · residency

Patient files are sacred.
We treat them that way.

DPDP · ABDM · NABH · India-resident
  • DPDP Act 2023 compliant · patient consent and data minimisation built in
  • ABDM-ready · discharge summaries in FHIR R4 format, ABHA-linkable
  • NABH 5th edition templates · accreditation-grade discharge structure
  • Indian data residency · every photo, scan and PDF stays on Indian data centres
  • Role-based access · only the treating team and authorised staff
  • End-to-end encryption · in transit and at rest
  • Auto-redaction of patient identifiers in any data used for model improvement
  • No model training on your hospital's data without explicit consent
Deployment

Live in your hospital this week. Not next quarter.

Three deployment modes — pick the one that fits your hospital today. Most hospitals start with Mode 1, see the savings in 30 days, then move to Mode 2 or 3.

Fastest start
Mode 1

Standalone Web App

Live in 48 hours

Just a browser. Nursing supervisor uploads scanned files at end of shift. Doctor reviews and signs from any device. Zero IT integration.

  • No installation
  • No EHR dependency
  • Works on any laptop / tablet
Mode 2

Mobile Capture App

Live in 1 week

Hospital phones (or doctor/nurse personal phones with hospital login) photograph case sheets directly at the bedside. Uploaded automatically.

  • Bedside capture
  • Auto-upload to queue
  • Offline-tolerant
Mode 3

EHR-Integrated

Alongside EHR rollout

For hospitals on our EHR (or a partner EHR via API): AI Discharge Summary appears as a button inside the patient chart. Pulls structured data + accepts uploaded paper.

  • Inside the patient chart
  • Hybrid paper + structured
  • Full FHIR R4 output
What hospitals say

Real hospitals.
Real bed-hours recovered.

Our average discharge time dropped from 4 hours to 35 minutes in the first month. We didn't change a single thing about how our doctors write notes.

Medical Superintendent

200-bed multi-speciality · Mumbai

हमारे TPA queries 40% से 8% पर आ गए. यह सबसे बड़ा फायदा है.

Insurance Desk Manager

Tier-2 hospital · Indore

As a DNB resident, I used to lose 4 hours a day to discharge summaries. Now I'm in the ICU learning, not at a computer typing.

Dr. DNB Resident

Teaching hospital · Bangalore

* Quotes paraphrased from live pilots. Names withheld pending hospital permission.

FAQ

Questions Indian hospital owners actually ask.

Don't see your question? Bring it to the demo call — we'll process 10 of your real case sheets live.

Yes — and we say this with confidence because our model is trained specifically on Indian medical handwriting, including consultant scribbles, abbreviations and shorthand. We will run a free pilot on 10 of your real (de-identified) case sheets so you can verify before deciding.
Made in India · For India

कलम वही रहेगी. कागज़ डिजिटल हो जाएगा.

Kalam wahi rahegi.·Kaagaz digital ho jayega.

The pen stays. The paper goes digital.

Stop losing money to bed-blocking.
Start releasing beds in minutes.

Book a 20-minute demo. We'll process 10 of your real (de-identified) case sheets — for free before you spend a single rupee.

No commitmentNo upfront costReal case sheets

No “AI buzzword” presentation. A real demo on real case sheets from your real hospital — handwriting, regional language, ICU complexity, all of it.