Artificial intelligence for the evaluation of profiles, trajectories and management of vulnerability in health: COVID-19, frailty of the elderly and cancer
URGE
Modelling of emergency room patient pathways and optimization of care
Underway
01/06/2023
-
30/06/2023
Main objectives
- Develop a generic, customizable and high confidence flow simulation tool for emergency facilities.
- To test different organizations, adaptations or solutions in a risk-free environment for patients.
- Enriching expert opinions with results objectivized by mathematical analysis, from the initial screening stage
The URGE project is the winner of the Bernoulli Lab Challenge. It is supported by the AP-HP Foundation and its donors.
- To test different organizations, adaptations or solutions in a risk-free environment for patients.
- Enriching expert opinions with results objectivized by mathematical analysis, from the initial screening stage
The URGE project is the winner of the Bernoulli Lab Challenge. It is supported by the AP-HP Foundation and its donors.
Methodology/Technology used
- Develop a model of emergency structures based on Petri nets and queues
- Develop a specific simulation module dedicated to emergency structures
- Obtain analytical formulas expressing performance metrics as a function of resources and processing times
- Develop a sorting tool
- Evaluate the impact of initial patient triage methods
Contacts
Youri Yordanov () & Xavier Allamigeon ()
Members
AP-HP, Inria, FHU IMPEC, Plateforme de recherche Est Parisien
Other projects
Description
Learning a deep representation of patient records for event prediction and patient segmentation
Names of partners involved
AP-HP, Inria