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ChallengeUpdated on 11 March 2025

AI-Powered Medical Consultation Documentation System

Jordi Piera Jiménez

Director of the Digital Health Strategy for Catalonia at Servei Català de la Salut

Barcelona, Spain

About

CatSalut is seeking innovative solutions to transform medical consultation documentation through advanced voice-to-text capabilities powered by Large Language Models (LLMs). The solution should automatically convert medical consultations into structured clinical documentation using openEHR templates, ensuring semantic interoperability and standardization across the healthcare system.

The key objectives include:

  • Real-time transcription of medical consultations with high accuracy in Catalan, Spanish, and Occitan.

  • Automatic structuring of clinical information according to openEHR templates.

  • Integration with existing Electronic Health Record systems.

  • Privacy-preserving processing of sensitive medical information.

  • Support for multiple medical specialties and consultation types.

  • Automatic extraction of key clinical indicators and coding of diagnoses.

  • Generation of standardized clinical summaries.

We are looking for solutions that can demonstrate significant improvement in clinical documentation efficiency while maintaining high accuracy and compliance with healthcare data standards. The solution should be scalable across our network of healthcare facilities and adaptable to various clinical contexts.

Topic

  • Clinical care administration & management tools
  • Decision support software
  • Artificial Intelligence
  • Natural language processing
  • Patients' clinical records
  • Generative Artificial Intelligence
  • Report generation
  • Machine learning
  • Health Information Technology (HIT)
  • medical devices

Type

  • Proof of concept/pilot testing

Organisation

Servei Català de la Salut

Public Entity

Barcelona, Spain

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