Lifen Datalab

Unlock the full potential of health data to drive research forward

Join large-scale research projects made possible by the latest AI technologies and the automated structuring of medical reports.
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Trusted by over 800 healthcare facilities
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Participate in national research projects
Leverage our extensive network of partner institutions to access new collaboration opportunities or launch your own large-scale research projects.
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Access up-to-date data
Patients are included continuously and their data regularly updated from new documents integrated into the patient file without any manual action on your part.
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Master data quality
An AI-assisted structuring process, combined with strict quality control to ensure data reliability.
Accelerate your research projects
Launch innovative research projects quickly and efficiently
Expand your multicenter cohort projects: our extensive network of partner facilities makes project contractualization and implementation easier.
Access new research opportunities: become an investigator for multicenter research projects

One-click sending

Send reports to healthcare professionals according to their reception preferences (MSSanté, Apicrypt or postal address).
Send medical records to patients via secure postal or digital transmission.
Integrate patient documents into their Shared Medical Record (SMR).
Today, 80% of health information is only available in unstructured documents.
Join national research projects
Large-scale projects to advance research
Join the multicenter research projects carried out in partnership with Lifen in numerous therapeutic areas and reference centers.
Complete project management
Our cloud solution is easily deployed, regardless of your information system. Lifen DataLab has been designed to comply with the various applicable regulatory frameworks, according to the CNIL reference framework. Patients are informed and can manage their opposition rights, in compliance with GDPR standards.
A wide network of partnering healthcare facilities
Lifen solutions are present in more than 800 facilities of all types (CHs, CHUs, CLCCs, etc.), offering a unique representation of patients, including those suffering from rare and complex diseases.
“Thanks to our cloud solution, healthcare institutions can easily collaborate on multicenter research projects. Heavy data processing is handled by dedicated computing servers on our certified Health Data Host cloud. This allows centers to seamlessly join a collaboration project without requiring significant upfront investment.”
Franck Le Ouay CEO & Co-founder of Lifen
“If we want to add a variable because we are wondering about its relevance in characterizing a particular type of cancer, the tool will be able to rescan the entire reports and extract it. This is incredible power. Imagine having to pay someone to go back and reopen 10,000 patient files.”
Prof. Benjamin Besse
Director of clinical research at Gustave Roussy
Access real-time data
Continuous patient inclusion
Patients meeting the inclusion criteria may be included on an ongoing basis.
Continuously updated data
Data from patient records is regularly updated as it becomes available, thus ensuring a database that is always up to date.
Dynamic management of variables of interest
Possibility of adding new variables compared to the initial protocol, in order to carry out more in-depth studies on certain patient clinical profiles.
Ensure data quality
Consistent treatments across participating centers
A scientific committee for each project which validates a set of variables and processing rules.
Quality control integrated into the application
Visualization and tracking of all structured data via a dedicated interface for medical teams in participating centers.
Secondary data reuse tools
Interactive dashboards to track cohort progress, with the ability to export data to your analysis tools.
91,9 %
AI concordance with manually entered data in a comparative study of 1,057 patients with thoracic cancer.
Discover Lifen DataLab in action
“Data structuring holds significant potential for addressing clinical and research questions. Currently, this process relies on physicians, interns, students, and data managers and remains time-consuming and prone to errors, depending on the objectivity and expertise of the individual responsible for data entry.

The adoption of an AI-powered automated system offers an efficient solution for processing data from large patient populations while ensuring consistency and reliability in data entry.”
Mihaela Aldea
Medical Oncologist at Gustave Roussy
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Ongoing patient cohort studies
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Book a Lifen DataLab demo today
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Discover Lifen DataLab in detail
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