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© Research
Event

Lab meeting EMEA – Application of process mining to medico-administrative data for visualization, simulation and prediction of care pathways – with Vincent Augusto

Scientific Fields
Diseases
Organisms
Applications
Technique
Date
02
Mar 2020
Time
15:00:00
25 Rue du Dr Roux, 75015 Paris, France
Address
Building: C. François Jacob Room: Auditorium Centre François Jacob
Location
2020-03-02 15:00:00 2020-03-02 17:00:00 Europe/Paris Lab meeting EMEA – Application of process mining to medico-administrative data for visualization, simulation and prediction of care pathways – with Vincent Augusto The next lab meeting of the Epidemiology and modelling of evasion to antibacterials unit (EMEA) will happen on Monday, March 2nd 2020, at 3PM, at the auditorium Centre François Jacob. We will be pleased […] 25 Rue du Dr Roux, 75015 Paris, France Salam Abbara salam.abbara@pasteur.fr

About

The next lab meeting of the Epidemiology and modelling of evasion to antibacterials unit (EMEA) will happen on Monday, March 2nd 2020, at 3PM, at the auditorium Centre François Jacob.

We will be pleased to welcome Vincent Augusto, Professor,  invited by Laurence Watier and Didier Guillemot.

Vincent Augusto is a professor and a permanent faculty member of Mines Saint-Étienne. He is director of the Center for Biomedical and Healthcare Engineering of Mines Saint-Étienne, and is co-responsible of the living lab MedTechLab.

His areas of research are performance evaluation, engineering of healthcare systems (industrial engineering, simulation), optimization and management of healthcare systems (operational research), health data and medical decision aid (process mining, machine learning). He defended his thesis in 2008 related to the modeling, analysis and control of flows in healthcare systems using UML and Petri nets (Industrial Engineering).

Title of the presentation “Application of process mining to medico-administrative data for visualization, simulation and prediction of care pathways”. 

Description of the presentation : Nowadays, numerous analytical methods and tools are available to capitalize on relevant data for decision aid in various areas: industry, business, healthcare. In this presentation, we focus on knowledge discovery and prediction using medico-administrative health data, such as patient lifetime hospitalization history. We use custom process mining techniques to find common patterns, process models or care pathways of a given set of patients. Such approaches allow to display important information related to patient care pathway using medico-administrative databases such as the PMSI (French national hospitalization database). Several extensions of these process mining algorithms are investigated to propose new clinical pathway prediction approaches.

The labmeeting is open to everyone. If you need any further information, or wish to meet with the orator, please contact the organizer, Salam Abbara

Kind regards,

Location

Building: C. François Jacob
Room: Auditorium Centre François Jacob
Address: 25 Rue du Dr Roux, 75015 Paris, France