Hospital management for Indian hospitals

One system for the whole hospital, with an AI scribe that shows its checks

Clinimatrix runs OPD, IPD, pharmacy, lab, billing and insurance in one place. Doctors dictate a consultation and review a structured SOAP draft, with AI suggestions kept clearly separate until the doctor accepts them. The product is built to the ABDM specifications.

  • databaseSeparate database per hospital
  • memoryAI models run on our servers, no third-party AI API
  • hubABDM-ready (formal certification not yet obtained)
  • local_fire_departmentBurns and wound-care workflows built in
mic Consultation draft
Listening
S

Fever for two days with a dry cough. No breathlessness.

O
Examination findings
Temp 101.2 °F Pulse 96 ✓ Throat examined: Erythematous
auto_awesomeAI suggested · consider examining
Throat and chest auscultation
A

Acute viral upper respiratory infection.

P

Rest, plenty of fluids, tepid sponging for fever. Come back if fever lasts more than 3 days.

Interactive preview. The doctor reviews and commits every note.

What is in the product

Everyday hospital operations, in one record

Each module works from the same patient record, so a prescription becomes a dispense and an invoice without re-entering anything. Modules are modular: the super-admin can switch each one on or off per hospital, so a small clinic uses only what it needs.

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OPD & appointments

Doctor schedules and availability, appointment booking, patient registration with QR tokens and OTP verification, vitals and consultation notes.

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IPD, wards & beds

Admission, transfer and discharge (ADT), ward and bed types, IV fluid summaries, and discharge summaries generated from the chart.

medication

Prescribing & pharmacy

Prescriptions with allergy cross-checking, dispensing, batch-level inventory with bulk import, and prescription invoicing.

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Laboratory

Lab test catalogue and categories, orders, result entry and result amendments with history.

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Billing & insurance

Invoices, payments, receipts and refunds from a service-item tariff, plus insurance pre-authorisation and claim tracking.

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Consents

Consent types with versioned agreement text. The agreement a patient signed is snapshotted so you can show exactly what they agreed to.

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Therapy & referrals

Physiotherapy and psychology workflows and inter-specialty referrals inside the same patient record.

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Staff & rosters

Staff profiles, weekly schedules and overrides, attendance, and per-device credentials with push notifications to staff phones.

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Dashboards & reports

Operational dashboards, accounts and billing aggregation, patient reports and a full patient timeline.

Ambient AI scribe

Dictate the consultation. Review the draft.

An AI note is only useful if a doctor can trust it. So the draft is checked against the transcript before it reaches the screen, and the doctor signs it off.

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Clinimatrix speech recognition

Consultation audio is transcribed by Clinimatrix AI's medical speech recognition, running on the Clinimatrix server. Server-side transcription is for English audio; Hindi and English dictation is transcribed on the doctor's phone.

description

Structured draft from Clinimatrix AI

Clinimatrix AI's clinical language model turns the transcript into a draft SOAP note: complaints, history, vitals, examination, impression, medicines and tests.

fact_check

Checked against what was said

A grounding layer compares the draft with the transcript. Medicines or tests the doctor never dictated are dropped, and ordered medicines and vitals are extracted by deterministic rules.

self_improvement

A fuller advice plan

Beyond what was dictated, the plan can carry general self-care and return-precaution points, such as fluids, rest and when to come back. It never adds a medicine, a dose or a test.

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Pre-visit intake

A guided intake can collect history from the patient before the consultation and feed the draft.

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Queued and metered

AI jobs run through a queue with position and wait estimates. Usage is credit-based, with plans and top-up packs managed per hospital.

What the doctor said is the note. What the AI thinks is a labelled suggestion.

Dictated facts fill the Subjective, Objective, Assessment and Plan sections. A second pass adds suggestions in a separate block marked AI suggested. Nothing in that block is saved to the chart unless the doctor accepts it, and it never contains a medicine or a dose.

help
History
Questions to ask

Gaps in the history the doctor may want to cover before moving on.

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Objective
Things to examine

Examination prompts based on the complaint. Prompts, not findings.

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Assessment
Differentials and red flags

Other conditions worth considering, each with a short reason, plus warning signs to watch for.

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Plan
Tests, advice and follow-up

Suggested investigations go to the order list flagged for review. Advice is limited to general self-care.

Assessment and plan
Dictated by the doctor

Acute viral upper respiratory infection. Review in three days.

auto_awesomeAI suggested · consider
Acute pharyngitis

Sore throat and fever together make it worth examining the throat.

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Red flag. Difficulty breathing or drowsiness needs urgent review.

Illustrative screen with sample text. Doctors retain complete clinical oversight.

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AI output can be wrong. Clinimatrix drafts are decision support for a qualified clinician and are not a diagnosis. Marathi dictation is still being validated.
Clinical photos in the note

Photos that help write the note

A photo taken at the bedside is more than an attachment. Once it has a description, it can inform the Objective section, the wound card and the comparison with the last visit. The doctor reviews each of these before it becomes part of the record.

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One tap from the AI screen

Photos is a quick action on the encounter, so a doctor who works mainly by voice can still reach it.

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Describe without leaving the note

Ask for an AI description of a photo right on the consultation screen. It runs in the background and appears when ready.

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Examination suggestions from photos

Described photos can propose examination lines for the Objective section, each tagged with the photo it came from.

healing

Wound card pre-fill

Wound type, depth, bed, exudate and infection signs found in a description can pre-fill the wound card, left unconfirmed for the doctor.

compare

Change since the last visit

Photos of the same site are compared with the patient's earlier photo, and the differences are offered as a labelled suggestion.

Comparisons need an earlier photo of the same site, labelled the same way. AI descriptions can be wrong, so they are drafts for the clinician.

Wound evolution
Day 1 · Earlier visit
Area ~46mm
Day 7 · This visit
-35% reduction
AI suggested · since last visit
The wound margin has contracted ~35% with healthy granulating tissue. Check the photos before accepting findings into the note.

Abstract illustration, not a patient photograph.

Burns & wound care

Clinical maths done by code, not by a language model

Clinimatrix was shaped by a working burns and reconstructive surgery practice. Calculations are deterministic and use values your own clinicians set.

Burn calculator
Interactive model
Selected TBSA
36%
Weight baseline
60 kg (Adult)
24h Parkland fluid
8,640 mL
First 8h
4,320 mL
Next 16h
4,320 mL

Click body regions to recalculate Parkland fluid volume deterministically.

TBSA with Lund-Browder charts

Body-region burn involvement is converted to a TBSA percentage using adult or paediatric chart values held in the database, not typed by hand.

Parkland fluid calculation

Resuscitation volume and first-period and second-period amounts are calculated in code, not by an AI model. The constant and period lengths are set by the hospital administrator.

Fluid checkpoints

Checkpoints are generated from the calculated plan, and missed checkpoints are flagged after a configurable grace period.

Wounds & dressings

Wound records, dressing logs with a dressing-material catalogue, and configurable scar scales.

Clinical photos

Photos attached to the patient record, with an AI-drafted description the clinician reviews and edits. Descriptions can feed the note and the wound card.

Before / after showcase

A managed showcase for the hospital's own public website, so outcomes can be shared where patients have consented.

Data & access

Trust, in plain terms

Your hospital's data stays in your hospital's database

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Database per hospital. Each hospital is a separate tenant with its own database, not rows in a shared table.
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Role-based access. Permissions are set per role, and security settings are managed per hospital.
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Audit trail. Sign-ins are recorded, and audit logs are kept for review.
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No third-party AI API. Speech and language models run on Clinimatrix servers, so consultation audio is not sent to an external AI provider.
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Terminology. SNOMED CT India Edition lookups are supported for licensed deployments.

Built to the ABDM specifications

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Status: ABDM-ready. Clinimatrix has not yet obtained formal NHA certification, and we do not claim it.
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ABHA (v3) creation and verification
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Health Facility Registry (HFR) integration
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Consent flows as both information provider and information user
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Care contexts, health-data push and pull
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FHIR-based export of health records
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Encrypted exchange (Fidelius-style ECDH and RSA) and gateway token verification
Competitive landscape

Where Clinimatrix fits

Indian hospitals usually choose between three kinds of product. Each is good at something. Clinimatrix is aimed at hospitals that want the hospital system and the AI scribe in one place, with data kept separate per hospital.

Core product

Clinimatrix
Full hospital system (OPD, IPD, pharmacy, lab, billing, insurance)
Typical Indian HMS vendors: Hospital or clinic management software
Standalone AI scribes: Ambient note-taking only
Global enterprise EHRs: Large enterprise EHR

AI scribe built in

Clinimatrix
Yes, with grounding checks
Typical Indian HMS vendors: Varies by vendor; often an add-on
Standalone AI scribes: Yes (that is the product)
Global enterprise EHRs: Usually via a separate scribe product

Where the AI runs

Clinimatrix
Models run on Clinimatrix servers; no third-party AI API
Typical Indian HMS vendors: Varies; ask the vendor
Standalone AI scribes: Often vendor cloud; ask for audio and transcript location
Global enterprise EHRs: Vendor cloud

Hospital data separation

Clinimatrix
Separate database per hospital
Typical Indian HMS vendors: Varies; ask the vendor
Standalone AI scribes: Not applicable
Global enterprise EHRs: Varies

ABDM

Clinimatrix
ABDM-ready; formal NHA certification not yet obtained
Typical Indian HMS vendors: Several vendors state ABDM compliance
Standalone AI scribes: Some align with ABDM; many international tools do not
Global enterprise EHRs: Rarely India-specific

Burns & wound care workflows

Clinimatrix
Built in
Typical Indian HMS vendors: Rarely specialised
Standalone AI scribes: No
Global enterprise EHRs: Generic modules

Built for Indian hospital sizes and billing

Clinimatrix
Yes
Typical Indian HMS vendors: Yes
Standalone AI scribes: Not applicable
Global enterprise EHRs: Often priced for large systems
Request a demo

See it on your own workflow

Tell us your specialty, bed count and the systems you use today. We will show you the parts of Clinimatrix that apply and an honest view of what is not built yet.

  • check_circleThe parts of Clinimatrix that apply to your hospital
  • check_circleAn honest view of what is not built yet
  • check_circleA reply on the email address or phone number you give

Prefer email? Write to hello@clinimatrix.in.