DeepInfinity Scribe · Medical Device Software

One documentation pipeline. Three clinical workflows.

DeepInfinity Scribe is a family of Medical Device Software modules that use ambient voice technology, automatic speech recognition, natural language processing and artificial intelligence to capture, transcribe and structure healthcare consultations and clinical discussions into draft clinical documentation.

01 DeepScribe AI 02 DeepConverse AI 03 DeepSpeed Rad Scribe
Request a Demo Talk to Sales

Every output is a draft. Generated documentation is presented to the healthcare professional for review, editing and approval before use. The reporting clinician remains the final human-in-the-loop decision-maker across all three modules, and no output is treated as an autonomous or final report.

Shared architecture

The same core pipeline runs beneath all three modules.

Stages 01–06 are common to every module. The modules diverge only at template mapping, where output is matched to the relevant modality or consultation template — and every path ends at the clinician.

01

Ambient voice capture

Consultation or dictation audio is captured in the clinical setting.

Shared
02

ASR engine

Automatic speech recognition converts speech to text.

Shared
03

Language identification

The spoken language is identified before downstream processing.

Shared
04

Clinical vocabulary

Clinical terminology is resolved against the vocabulary layer.

Shared
05

NLP / LLM processing

Natural language processing and large language model processing interpret the transcript.

Shared
06

Structured report generation

Content is organised into the structured sections of a draft document.

Shared
07

Template mapping

Mapped to the study's radiology reporting template — X-ray / Plain Film, CT, MRI, Ultrasound, Mammography, Nuclear Medicine, PET or Interventional Radiology.

DeepScribe AI
08

Clinician review

The healthcare professional reviews, edits and approves the draft before use.

Human-in-the-loop
What the modules share

ASR engine, language identification engine, clinical vocabulary processing, NLP/LLM processing, structured report generation engine and template mapping engine.

What differs

The workflow that feeds the pipeline and the template the output is mapped to — a clinical note, a doctor–patient medical report, or a modality-specific radiology report.

In-scope modules

Three modules, three documentation jobs.

Module 01

DeepScribe AI

Captures and structures general clinical notes via speech-to-text.

  • GP and outpatient consultations
  • Ward-based clinical notes
  • Dictated into the clinician's existing editor or record
OutputDraft clinical note
Module 02

DeepConverse AI

Captures doctor–patient conversations, including multilingual input, translates spoken content into English and structures it into a draft medical report.

  • Hindi, Telugu, Tamil, Kannada, Marathi and other regional languages
  • Spoken content translated into English
  • Sectioned to a standard clinical format
OutputDraft medical report — chief complaint · subjective/history · past history · differential diagnosis with ICD or SNOMED coding · assessment · plan
Module 03

DeepSpeed Rad Scribe

Captures radiology dictation and structures it into modality-specific report templates.

  • CT, MRI and plain film templates
  • Integrates with RIS, PACS and HIMS systems
  • Dictation mapped to the template for the study
OutputDraft radiology report in the modality template
Deployment

Where clinicians use it.

DeepInfinity Scribe forms part of the wider DeepInfinity AI platform and operates as a cloud-native Software-as-a-Service solution.

Web applicationBrowser access, no local install
Desktop applicationWindows and macOS
Mobile applicationiOS and Android
Chrome extensionDictation into browser-based systems
Microsoft Word add-inDrafting inside the document
Authorised API integrationsConnected clinical systems

Cloud-native SaaS · single shared processing pipeline across every access surface

Intended use

The clinician signs the record, not the software.

DeepInfinity Scribe produces draft clinical documentation from captured speech. The draft is presented to the healthcare professional for review, editing and approval before it is used.

The reporting clinician remains the final human-in-the-loop decision-maker across all three modules. Output is never treated as an autonomous or final report, regardless of any workflow-automation capability referenced in product marketing materials.

  • Every module produces a draft, not a signed record.
  • A healthcare professional reviews and edits before use.
  • Approval by the reporting clinician is required in every workflow.
  • Marketing claims about automation do not extend the intended use.
Request a Demo

Tell us what you need

Tell us about your clinical documentation, consultation or radiology reporting workflow and our team will follow up.