A further step towards personalized medicine, taking more into account the specificities of each patient
3 Artificial Intelligences dedicated to improving care pathways
Collective Thinking X CHU Toulouse
The APSoReN project (“Improving the Care Pathway of the Traumatic Brain Injury Patient by Developing a Neural Network Artificial Intelligence Model Applied to Massive Data Sets”), was the winner of the call for projects launched by the Health Data Hub and the Innovation Council Grand Challenge on the theme: “Artificial Intelligence for an Improved Health System Experience“.
Following a rigorous selection process that involved 138 projects between December 20, 2019 and June 1, 2020, the APSoReN project was selected.
It aims to model care pathways in order to identify risks of mismanagement in order to offer them an adapted and personalized follow-up. To do this, an innovative process of automatic structuring by Artificial Intelligence of clinical information contained in textual form in the medical records of the Toulouse University Hospital will be coupled with data from the National Health Data System (SNDS), in compliance with the regulations in force relating to the protection of personal data, patient information and respect for “data processing and freedom” rights.
We support you in all your projects related to the care pathway
Artificial Intelligence and in particular Deep Learning, offers new ways of analyzing and making the most of hospital data, both for doctors and for hospital management.
If you wish to analyze and/or optimize your institution’s care pathways, we can put our technologies at the service of your projects.