A wide range of needs
From rare diseases to common ones.
PRESUME Predicting early diagnoses from structured and unstructured routine medical data
PRESUME is a research and innovation project exploring how routine care data can help improve care pathways and prevention.
- Routine care dataalready produced by care
- On-premises hostingin compliance with GDPR
- Co-designed with cliniciansclose to real care pathways
Spin-off of
In pre-maturation at
In pre-maturation at
The opportunity
Simply by operating, the healthcare system produces routine data
Data generated during routine care: a prevention lever already within reach.
Routine care data
- National health insurance data (SNDS)
- Electronic health records
- Medical devices
Data collected for research
- Cohorts, registries, clinical trials
- Biobanks
- Omics
Our ambition
Making better use of the data care already produces, for patients and medical teams
Existing data
Building on routine care data already produced, with no additional collection.
With care teams
A project designed with hospital teams responsible for care pathways.
Within the institution
Designed for on-premises hosting, in compliance with GDPR.
PRESUME is a research and development project in pre-maturation. The software is not CE-marked, is not commercially available and must not be used for diagnostic purposes.
Our approach
Co-designing with clinicians, evaluating before any clinical use
Co-design
Each use case is defined together with the clinicians and teams involved.
Rigorous evaluation
Our work is evaluated through a scientific approach, before any clinical use.
Regulatory framework
Applicable regulatory requirements are taken into account from the design stage.
Our team
A team combining medicine, statistics and software engineering
Project leads
Grégoire Ficheur
Professor of Public Health
Inria
Patrice De Jaeghere
Software architect
Inria
Advisors
Charlotte Geay
Statistician
Marc-Antoine Delbarre
Internist physician
Contact
Hospital, academic or industrial partners: let’s talk
Want to learn more about PRESUME or explore a research partnership? Get in touch.
- contact@presume.fr
-
Inria Startup Studio (ISS)
172 Av. de Bretagne
59000 Lille
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