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Lifen

Lifen provides a secure platform for the exchange and integration of medical documents, enabling healthcare professionals to share and structure patient information efficiently. By automating the incorporation of medical letters into digital patient records, Lifen enhances the accessibility of critical health data, improving care coordination and clinical research.

Paris, FranceFounded 201516510K+ followers
Updated 20 months ago

Funding

$90.7M 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.

CLC
Funding rounds are not available yet.

Founders

Product

Problem

Healthcare providers face challenges in efficiently sharing and integrating medical documents into digital patient records. Manual incorporation of medical letters leads to data silos, hindering accessibility and effective care coordination. This also complicates clinical research efforts that rely on comprehensive patient data.

Solution

Lifen offers a secure, interoperable platform designed for the exchange and integration of medical documents, streamlining workflows for healthcare professionals. The platform automates the incorporation of medical letters and other documents into Electronic Health Records (EHRs), enhancing the accessibility of critical health data. By structuring and centralizing patient information, Lifen facilitates improved care coordination, accelerates clinical research, and supports informed decision-making. The SaaS-based solutions are designed with a focus on usability and adherence to the highest security standards, ensuring data privacy and compliance.

Target Audience

Lifen primarily serves hospitals, private healthcare facilities, medical practices, and clinical research organizations seeking to streamline data management and improve access to patient information.

Features

  • Secure exchange of medical documents between healthcare providers
  • Automated integration of documents into existing EHR systems
  • Intelligent data structuring using AI to facilitate data reuse for research
  • Interoperability with various healthcare IT systems, ensuring seamless data flow
  • Solutions for both care and research, addressing different needs within the healthcare ecosystem
  • Adherence to strict data security standards, including compliance with HOP'EN 2 and PFI standards
  • AI-powered data analysis to extract insights and facilitate clinical decision-making
This profile is AI-generated and may contain inaccuracies.