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Anamnèse 📱 logiciel e-santé 🇫🇷

The startup develops artificial intelligence-based medical software that digitizes patient care pathways by structuring medical knowledge into a graph format. This application aggregates patient history and illness data from various sources, enabling healthcare providers to access comprehensive patient databases for improved clinical decision-making.

Paris, FranceFounded 2017202K+ followers
Updated 3 months ago

Funding

$280K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Product

Problem

Healthcare providers often lack a comprehensive view of patient data due to fragmented information across disparate systems. This makes it difficult to efficiently coordinate care, manage patient pathways, and implement effective prevention strategies. The result is increased administrative burden, potential for errors, and suboptimal patient outcomes.

Solution

Anamnèse offers an AI-powered e-health platform that digitizes and structures patient care pathways, enabling coordinated care and improved clinical decision-making. The platform aggregates patient history and illness data from various sources, structuring medical knowledge into a Medical Knowledge Graph (MKG). This allows healthcare providers to access comprehensive patient information, streamline workflows, and deliver personalized, preventative care. Anamnèse supports various use cases including coordination between healthcare providers, optimization of patient pathways, and implementation of preventative care programs.

Target Audience

The primary target audience includes healthcare providers such as CPTS, MSP, hospitals, and private practices, as well as organizations focused on preventative care and e-health solution development.

Features

  • Medical Knowledge Graph (MKG): A patented technology that digitizes medical knowledge, linking diseases, symptoms, risk factors, and treatments.
  • AI-powered reasoning: Utilizes symbolic AI and machine learning to infer medical insights and support clinical decision-making.
  • Modular platform: Offers reusable components for pre-admission, dashboards, scheduling, teleconsultation, billing, and more.
  • Intelligent Questionnaires: Automatically adapts questionnaires based on patient responses, streamlining data collection.
  • Telemedicine Support: Facilitates direct or assisted teleconsultation, telecare, tele-expertise, and remote patient monitoring.
  • Data Security: Complies with GDPR and utilizes HDS-certified hosting for secure data storage and processing.
  • Interoperability: Supports integration with national healthcare systems through INS, e-CPS, DMP, and MSS.
  • Diagnostic Support: Provides differential diagnosis capabilities based on patient symptoms and risk factors.
This profile is AI-generated and may contain inaccuracies.