ProductUpdated on 22 February 2026
Digital Medical Scribe
About
Stenograf Medical AI – From Clinical Conversation to Structured Intelligence
Stenograf Medical AI is an integrated platform that eliminates the administrative burden of medical documentation by combining our proprietary High-Fidelity STT with a Medically-Tuned LLM. It acts as a real-time digital assistant that listens, understands, and structures every patient interaction.
Key Integrated Capabilities:
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Seamless Transcription (STT): Our ASR engine, optimized for medical terminology and Slavic phonetics, captures the full dialogue between doctor and patient with over top accuracy, even in noisy clinical environments.
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Intelligent Summarization (LLM): Instead of a raw transcript, the system automatically generates structured notes: chief complaints, physical exam findings, and assessment plans. It can automatically suggest ICD-10 or SNOMED CT codes based on the conversation.
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Real-Time Clinical Support: The LLM layer analyzes the transcription in real-time to flag potential drug interactions or remind the physician about specific protocol requirements during the visit.
The "Sovereign AI" Advantage: Unlike solutions based on public cloud APIs, Stenograf Medical AI operates entirely within EU-based infrastructure. This ensures that sensitive patient data (PHI) never leaves the jurisdiction, meeting the rigorous demands of the EU AI Act, GDPR, and NIS2.
Business Impact:
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30% Increase in Patient Capacity: By reducing the time spent on manual data entry into EHR systems.
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Better Data Quality: Standardized, high-quality medical notes across the entire facility.
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Burnout Prevention: Allowing medical professionals to focus on the patient, not the screen.
Looking for
- Distribution Partner
Applies to
- E-Health
Similar opportunities
Service
- Others
- E-Health
- Medicine
- Diagnostics
- Consulting / Coaching
Tomasz Horecki
Product Owner & Co-founder at Stenograf
Warszawa, Poland
Product
- Distribution Partner
Tomasz Horecki
Product Owner & Co-founder at Stenograf
Warszawa, Poland
Expertise
- Research
- Quality Management
- E-health / Telemedicine
Michael Marx
Professor for Global Health-Heidelberg University/ Founder of evaplan ltd at Heidelberg University at evaplan ltd at University of Heidelberg
Heidelberg, Germany