DeepInfinity AI · Clinical Documentation Suite

DeepConverse AI

Structured clinical documentation from the consultation itself.

Speak with your patient in the language you both use. DeepConverse captures the conversation and returns a clean, structured clinical record — chief complaint, history of present illness, past history, assessment and plan — ready for your review and approval before it enters the record.

20+ Indian languages · English clinical output · Word and PDF export · Every note reviewed and approved by the treating clinician

The problem

The consultation is over. The typing has just begun.

Clinicians spend up to 35% of the working day on documentation. In a busy OPD, that means typing between patients, writing up notes after clinic, or dictating to a typist and correcting the result. Consultations conducted in Telugu, Hindi, Tamil or Kannada carry a further burden: the doctor must translate mentally while writing, or the encounter goes undocumented entirely.

Documentation after hours

Notes written up long after clinic, when detail has already faded.

Language barriers

Multilingual consultations go undocumented or require manual translation.

Eyes on the keyboard

Typing during the consultation breaks eye contact and rapport.

Inconsistent notes

Every clinician structures a note differently, making records hard to use downstream.

The solution

One consultation. One complete clinical record.

DeepConverse listens to the doctor–patient encounter — or accepts a typed or uploaded transcript — and organises what was said into a standard clinical structure. It identifies the presenting complaint, separates patient-reported symptoms from examination findings, records what was explicitly denied as well as what was reported, and lays out the assessment and plan exactly as the clinician stated them.

The output arrives in English regardless of the language spoken, formatted to your institution's own template, ready for the doctor to check, amend and approve.

Positives and negatives, both recorded. DeepConverse captures what the patient denied as carefully as what they reported — "no vomiting", "no weight loss", "no known drug allergies" — because a documented negative is clinically as important as a documented positive.

What it produces

A structured clinical record, section by section.

01 · Chief Complaint

The presenting problem in one clear line, with duration — for example, a 35-year-old female presenting with a persistent dry cough for five days with mild fever, throat irritation and chest discomfort.

02 · Subjective — HPI

Broken down into the standard clinical framework:

  • Onset — when symptoms began
  • Character — how it is described
  • Duration & Radiation
  • Associated symptoms — positive & negative
03 · Past History

Past medical history, medications already taken, known allergies and relevant social history — including explicit statements where nothing significant was reported.

04 · Differential Diagnosis

Conditions discussed or considered during the consultation, each with its ICD-10 code and the clinical reasoning recorded in the encounter — including why an alternative was ruled out or considered less likely.

05 · Assessment

The clinician's own evaluation, restated in clean clinical language.

06 · Plan
  • Medications — drug, dose, route, frequency, duration
  • Investigations — tests ordered
  • Lifestyle & self-care
  • Follow-up — return criteria and review interval

All content is drawn from the consultation itself. The differential diagnosis section reflects conditions raised or reasoned through during the encounter, presented for the clinician to confirm, edit or remove.

How it works

Four steps, no change to how you consult.

1

Register and open the agent

Log in to deepinfinity.ai and select the Doctor–Patient Conversation agent from your dashboard.

2

Select your language and speak

Choose the spoken language and consult as you normally would — from live speech, an uploaded audio file, or typed text.

3

Review the structured record

The complete clinical note appears within seconds, with positives and negatives distinguished and coded conditions tabulated.

4

Approve, export, store

Amend anything that needs adjusting, approve it, then download as Word or PDF. Every approved note is saved to your dashboard.

Multi-language support

Speak Telugu. Get an English clinical record.

DeepConverse accurately processes doctor–patient conversations in Telugu, Hindi, Tamil, Kannada, Marathi, English and other regional languages, producing a clear, detailed clinical record in standard English clinical format — removing the documentation penalty that has always applied to consultations held in a regional language.

A three-day history of fever, myalgia, throat discomfort and reduced appetite, described entirely in Telugu, becomes a structured record with a coded differential of acute upper respiratory infection, acute pharyngitis and influenza, an assessment of viral febrile illness, and a full medication and self-care plan — in English, in seconds.

Sample consultations

Five consultations, five structured records.

CaseLanguagePresentationStructured output
Mira, 35FEnglish Five-day persistent dry cough, mild fever, throat irritation, chest discomfort Acute bronchitis (J20.9) with pneumonia (J18.9) and acute tracheitis (J04.10) documented as considered and less likely; full medication, diagnostic and self-care plan
Rohan, 40MEnglish One week of epigastric burning, bloating and early satiety after meals Acute gastritis (K29.10) with GERD, peptic ulcer disease and functional dyspepsia reasoned through; H. pylori testing, dietary modification and NSAID avoidance recorded
Adult, feverHindi Two days of high fever, body ache and weakness, mild sore throat Viral fever assessment with four-drug plan, hydration guidance and rest advice fully structured from the Hindi consultation
Adult, febrile illnessTelugu Three-day history of fever, myalgia, odynophagia, asthenia and anorexia Acute upper respiratory infection (J06.9) with pharyngitis and influenza considered; medications, supportive care and 3–4 day review criteria captured
Adult, viral feverEnglish Two days of fever, body aches, headache and weakness Viral fever (B34.9) with common cold and influenza reasoned through; conditional testing criteria and ten-day monitoring plan documented

Each sample shows the raw input conversation alongside the structured clinical record produced from it. Request the full sample pack during your demo.

Key benefits

Why clinicians use DeepConverse.

Eyes on the patient

No typing during the consultation. Rapport stays where it belongs.

No language penalty

Consult in the patient's own language and still produce a standard English clinical record.

Consistent structure

Every note follows the same clinical framework, usable by colleagues and downstream systems.

Coded from the start

ICD-10 codes attached to conditions discussed, supporting coding, audit and reporting workflows.

Nothing lost between patients

The record is complete before the next patient enters the room.

Documentation you can amend

The draft is a starting point, not a finished note. Edit freely before approving.

Who it's for

Built for consultation-heavy settings

  • Outpatient departments — high throughput, minimal documentation time between encounters
  • General practice & primary care — complete, coded records without after-hours typing
  • Multi-specialty hospitals — standardised note structure across every clinic
  • Government hospitals — large volumes of regional-language consultations
  • Telemedicine services — remote consultations documented as thoroughly as in-person
  • Specialist clinics — complex histories captured in full detail during the encounter
Integration & availability

Works where your clinicians already work

  • EHR / EMR — approved notes written back to the patient record
  • HIMS — patient and encounter context populated automatically
  • MS Word, OpenOffice, CKEditor — export and edit in familiar tools
  • Desktop, mobile & Chrome extension — at the desk, on the ward, or on the move
  • Dashboard — every approved record stored for future reference and editing
Clinical safety & governance

A documentation tool, reviewed and approved by the clinician.

DeepConverse structures and records a consultation that has already taken place. It does not examine the patient, does not make a diagnosis, and does not prescribe.

  • Every record is issued as a draft for clinician review, amendment and approval — it does not enter the patient record until the treating clinician approves it.
  • The differential diagnosis table reflects conditions raised or reasoned through during the consultation, presented for confirmation, editing or removal — it is not an independent diagnostic output.
  • Medications, doses and investigations are transcribed as prescribed by the clinician, never suggested or altered.
  • Explicit clinical negatives are preserved rather than discarded.
  • Full audit trail of source input, generated draft, clinician edits and approval.
  • Role-based access control with clinician-level attribution.
EN 62304 Class A DCB0129 clinical risk management ISO 27001:2022 ISO 9001:2015
FAQ

Questions clinicians ask.

Does DeepConverse diagnose the patient?

No. It records the clinical reasoning that took place during the consultation, including conditions the clinician considered and ruled out. The diagnosis is the clinician's, and the record is not valid until they approve it.

Where do the ICD-10 codes come from?

They are attached to conditions discussed in the consultation to support coding and audit workflows. The clinician confirms or amends them during review, exactly as they would with any coded record.

Can it handle code-switching between languages?

Yes. Real consultations move between a regional language and English, particularly for drug names, dosages and clinical terms. The sample Telugu and Hindi consultations both contain mixed-language speech and produce complete English records.

What if the consultation is incomplete or the patient is a poor historian?

DeepConverse records what was said. Where a standard section has nothing to draw on, it states that explicitly rather than inventing content — for instance, noting that no significant past medical history was reported during the encounter.

Does it work without live audio?

Yes. It accepts live speech, uploaded audio files and typed transcripts.

Can we match our hospital's note template?

Yes. Output structure is mapped to your institution's format during implementation.

Is patient consent required?

Recording a consultation requires appropriate patient consent under local law and your organisation's information governance policy. We support your consent workflow during implementation.

Get started

See DeepConverse on a consultation of your own.

Bring a typical encounter — in any language you consult in — and we will show you the record it produces.

Book a 15-minute demo

Tell us what you need

Tell us about your consultation and documentation workflow — in any language you consult in — and our team will follow up.