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CliniScribe

CliniScribe is an AI‑powered voice assistant that transcribes clinicians’ spoken notes in real time and converts them into structured, EMR‑ready summaries in eight Indian languages and Hinglish. The platform integrates via HL7/FHIR to push data directly into existing EMR systems, with end‑to‑end encryption and compliance with HIPAA, SOC 2 Type I and India’s DPDP regulations. It is offered as a managed cloud service or on‑premises deployment on a subscription basis.

Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Healthcare providers in India spend a large portion of each shift manually documenting patient encounters, often switching between English and regional languages. The lack of a multilingual, real‑time documentation tool forces clinicians to rely on time‑consuming typing or external transcription services, leading to reduced face‑time with patients and increased risk of incomplete records. Existing solutions typically require extensive setup, do not integrate with local EMR standards, and lack robust data‑privacy guarantees.

Solution

CliniScribe delivers an AI‑powered voice assistant that captures spoken clinical narratives and instantly generates both a verbatim transcript and a structured, EMR‑ready summary. The platform supports eight Indian languages and code‑mixed “Hinglish,” leveraging large‑scale acoustic models and domain‑specific natural‑language processing to recognize medical terminology with ≥98 % accuracy. Transcription and structuring occur in under one second, enabling clinicians to continue the patient encounter without interruption. Integrated HL7/FHIR connectors push the formatted data directly into existing EMR systems, eliminating manual entry. All data are encrypted at rest (AES‑256) and in transit (TLS 1.2) and the service complies with HIPAA, SOC 2 Type I, and India’s DPDP regulations. Deployment can be consumed as a managed cloud service on India‑region infrastructure or installed on‑premises for full data sovereignty.

Target Audience

The primary users are physicians, nurses, and allied health staff in outpatient clinics, hospitals, and diagnostic centers across India that require fast, accurate clinical documentation in multiple regional languages. It also serves health‑IT teams seeking secure, standards‑compliant integration with existing EMR platforms.

Features

  • Real‑time speech‑to‑text engine with low latency (< 0.8 s) optimized for eight Indian languages and code‑mixed speech
  • Clinical NLP pipeline that extracts diagnoses, procedures, vitals, and medication details into standardized templates (CIMS/MIMS)
  • HL7/FHIR bidirectional integration for seamless push/pull of structured notes into any EMR workflow
  • Multi‑speaker diarization allowing simultaneous documentation by physicians and nurses in the same session
  • Customizable note templates (OPD, discharge summary, nursing progress, vitals) with over 50 pre‑built formats
  • Role‑based access control and end‑to‑end encryption, meeting HIPAA, SOC 2 Type I, and DPDP compliance
  • Managed cloud deployment with India‑region data residency or optional on‑premises installation for enterprise data‑sovereignty
  • Pay‑as‑you‑go credit model and enterprise per‑user subscription with unlimited usage and priority support
This profile is AI-generated and may contain inaccuracies.