How to Capture, Measure, and Leverage Biomedical Data? The Contribution of AI
Seance of wednesday 16 october 2024 (L'Académie reçoit la Fondation de l'Avenir : la place du patient dans la recherche médicale)
DOI number : 10.26299/frhg-wn84/emem.2024.26.03
Abstract
Doctors are overwhelmed by medical data that is difficult to utilize. Structuring this data is essential for improving healthcare. Predictive, diagnostic, and planning models rely on the quality of this data. Patients generate an immense source of data, but much of it is lost when the doctor verbalizes it, and even more is reduced when written down in reports, which are often left unanalyzed. In France, 200 million consultations and 8.5 million surgeries generate unused reports. How can we address this? Through registries, PROMs, or initiatives data lake like "Mon Espace Santé"?
Scientific publications, the foundation of evidence-based medicine (EBM), must also be efficiently utilized—how? AI tools for collecting, structuring, and analyzing this data represent a revolution. But do we need to change our practices?
Scientific publications, the foundation of evidence-based medicine (EBM), must also be efficiently utilized—how? AI tools for collecting, structuring, and analyzing this data represent a revolution. But do we need to change our practices?