Dischargely

Ward-round scribe that drafts discharge summaries and insurer files

Enterprises

TL;DR Dischargely listens to ward rounds in mid-size private hospitals and turns them, along with the chart, into a draft discharge summary and the set of documents insurers want before they release a cashless claim. A doctor checks and signs every draft. The hospital pays per discharge, because slow discharges block beds.

The problem

Leaving a hospital in India is slow, and paperwork is a big reason why. In a surgery-care platform's survey published in April 2024, half of patients said insurance claim processing delayed their discharge, about 38% said discharge took more than eight hours, and over 40% blamed the hospital's own administration[1]. The survey gave no sample size, so read it as a signal.

Since May 2024, IRDAI has required insurers to give final discharge approval within three hours of the hospital's request, and to collect claim documents from the hospital rather than the patient[2]. That puts the bottleneck squarely on the hospital.

Somebody has to write the discharge summary, gather the investigation reports and match them to the bill, and in a 100-bed hospital that somebody is usually a tired junior doctor at the end of a shift. That's my reading - I couldn't find an Indian time study.

The idea

First, the important bit - Dischargely does clinical documentation support only. It drafts text from what clinicians say and what the chart already holds. It does not suggest a diagnosis or a treatment, and nothing leaves the system until the treating doctor signs it. CDSCO's October 2025 draft guidance brings software that diagnoses, predicts, monitors or treats under device rules and leaves administrative software outside them, but it doesn't name documentation tools[3]. Get a regulatory opinion before launch.

On rounds, a doctor or nurse records on a phone. The notes get transcribed in mixed Hindi and English and filed against the patient's day. At discharge, the tool puts together a draft summary with the diagnosis as the doctor wrote it, procedures, discharge medicines and follow-up, flags gaps like a missing histopathology report, and builds the insurer file.

The seed pitched a real-time outpatient scribe, and I'd narrow that. A BMJ Open review found Indian primary-care visits average about two minutes[4][5], which leaves little typing time to save, and outpatient scribes already exist. The pain you can actually measure is the discharge.

Who pays

The hospital pays, through the medical superintendent or the CFO, because a bed that empties three hours earlier can take the next admission. There are no published prices for Indian scribe products. My starting assumption, to test in the sprint, is a fee per discharge in the low hundreds of rupees, billed monthly. Patients never pay.

Why now

IRDAI's May 2024 master circular put a three-hour clock on discharge approval[2]. Speech models now cope with Indian accents and code-mixed speech, and at least one Indian health-records company runs its scribe on its own model built for exactly this[6]. The CDSCO draft of October 2025 sets out for the first time where software stops being administrative[3], so you can design inside the line.

Market signal

Nobody publishes a figure for India's clinical documentation or AI scribe market. The most concrete signal is a supplier's reach - one Indian clinical voice platform says more than 15,000 clinicians across 500+ hospitals use its voice and documentation tools[7]. That is a company claim. The discharge-delay survey[1] shows the pain is common, but it doesn't size the spend.

Who's already doing this

An Indian clinical voice platform sells speech-to-text reporting for 55+ specialties and a scribe suite with coding to the big hospital chains[7]. A health-records startup's scribe drafts consultation notes and prescriptions, mostly as a browser extension, and is piloting a web app in large hospitals[6]. Both are focused on the consultation note.

The gap is a discharge-first product priced for 50–300 bed hospitals that run a local billing system rather than a global enterprise records suite.

How hard is it?

Difficulty Moderate (44/100)
Starting capital ₹95 L–1.8 Cr
Time to launch 6–9 months

You buy transcription now, you don't build it. The hard parts are getting drug names and doses right, connecting to the dozens of small hospital software systems out there, and earning a doctor's trust that the draft won't embarrass them in front of an insurer.

Licences and approvals

No licence is needed to sell documentation software, but the device-software line decides how far the product can go.

  • CDSCO medical device software opinion. CDSCO's draft guidance covers software that diagnoses, predicts, monitors or treats and leaves administrative tools out[3]. Get a written regulatory opinion before launch, and redo it if you ever add clinical suggestions.
  • DPDP Act compliance before the first ward recording, because audio and summaries are personal data. Give notice, take consent and report breaches[8].
  • IRDAI master circular (May 2024). This isn't a licence, but it sets the three-hour discharge clock your insurer file has to fit[2].
  • Prescription rules. If drafts list discharge medicines, check NMC prescription rules before selling [Requires validation].

Building this outside India? The categories above usually have a local equivalent, so check with your own regulator.

How AI can power this business

  • Ward-round transcription. Speech models turn mixed Hindi and English notes into text filed against the patient's day, so the junior doctor isn't typing at midnight.
  • Discharge summary drafts. The tool pulls procedures, medicines and follow-up from the chart into a draft the treating doctor edits and signs.
  • Missing-document checks. It compares the insurer file against what TPAs usually ask for and flags a missing report before the request goes out.
  • Dose and name checks. Simple rules plus a model can flag a drug name or dose that doesn't match the chart, for a human to fix.

Don't let AI write anything clinical on its own. Every summary is a draft until the doctor signs it, and the product never suggests a diagnosis or treatment.

Want to work out the AI layer for Dischargely? Talk to Yash →

Biggest risks

Here's what can go south -

  • A wrong dose in a signed summary. One error that reaches a patient will end hospital trust and may bring liability.
  • Integration drag. Every hospital's billing and lab software is different, and each connection can take weeks.
  • Incumbents add the feature. The voice and scribe vendors can bolt a discharge template onto a scribe they already sell.

Our take

I think this is worth a shot for a founder with hospital operations or TPA experience plus a strong engineer. If you want a pure AI product and no time on wards then it's the wrong idea for you. Prove one number first - in a 50-bed pilot, cut the time from "fit for discharge" to "bill cleared" by at least an hour, with zero dose errors in signed summaries.

Questions founders ask

My estimate is ₹95 L–1.8 Cr to launch, mostly engineering, hospital integrations and a regulatory opinion. The kit breaks it down line by line.

Do I need a licence to sell discharge summary software in India?

Not if it only drafts what clinicians say. CDSCO's draft guidance keeps administrative tools out of device rules, but get a written opinion, and follow the DPDP Act for patient data.

Can I start a discharge documentation business in another country?

Yes, the pain is common wherever hospitals wait on paperwork. Check how your own regulator treats clinical documentation software and health data first.

Download the kit

The free Dischargely validation kit has the line-by-line capital breakdown, the effort scoring, the device-software and data-protection checklist, a 14-day validation sprint with pass/fail targets, a 90-day launch plan, 10 interview questions for hospital staff, and 5 assumptions to test. Download the kit →

Talk to Yash

Thinking of building Dischargely or something close to it? The make-or-break bit is proving draft accuracy and a shorter discharge on a real ward before you sell, and that's the kind of thing I help founders with. If you need a hand, you know where to find me. Talk to Yash →

Sources

  1. The Week, "Medical insurance claims: 5 out of 10 patients face discharge delays", 2024-04-29. https://www.theweek.in/news/biz-tech/2024/04/29/medical-insurance-claims-5-out-of-10-patients-face-discharge-delays.amp.html
  2. The Week, "IRDAI issues new master circular to make health insurance claims process more seamless", 2024-05-30. https://www.theweek.in/news/india/2024/05/30/irdai-issues-new-master-circular-to-make-health-insurance-claims-process-more-seamless.amp.html
  3. India Briefing, "CDSCO moves to regulate medical device software in India", 2025-11-12. https://india-briefing.com/news/cdsco-draft-guidance-medical-software-40691.html
  4. Irving et al., "International variations in primary care physician consultation time: a systematic review of 67 countries", BMJ Open 7(10), 2017. https://bmjopen.bmj.com/content/7/10/e017902
  5. Outlook India, "Indian doctors only spend 2 minutes with patients", 2017-11-09. https://outlookindia.com/national/indian-doctors-only-spend-2-minutes-with-patients-which-is-among-the-worst-in-th-news-304118
  6. Digital Health News, "Eka Care launches India's first AI medical scribe, powered by its own LLM Parrotlet", updated 2026-02-23. https://www.digitalhealthnews.com/eka-care-launches-india-s-first-ai-medical-scribe-powered-by-its-own-purpose-built-llm-parrotlet-
  7. IndiaMedToday, "Medical voice AI solutions are redefining EMR usability: Rustom Lawyer, Augnito", 2024-12-18. https://indiamedtoday.com/medical-voice-ai-solutions-are-redefining-emr-usability-rustom-lawyer-co-founder-augnito/
  8. PRS Legislative Research, "Digital Personal Data Protection Bill 2023", 2023-08. https://prsindia.org/billtrack/digital-personal-data-protection-bill-2023

For illustration only. Names are fictional and ideas hypothetical; sourced facts are real but may be out of date. Nothing here is legal, financial or professional advice, and Yash Khatri is not personally liable for any use of it. Read the full disclaimer.

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