In order to improve the management of vital distress in children, I am working on the development of computerized clinical decision support systems (CCDSS), particularly for the management of respiratory distress. From 2009 to 2019, I led a North American group on the development of CCDSS for mechanical ventilation (PREVENT group). Since 2020, I have been leading a research group and supervising students on the development of CCDSS in pediatric acute care. This work has resulted in some 30 peer-reviewed international manuscripts and 30 international conferences on CCDSS over the past 5 years. I was awarded a FRQS chair ($1.5M; co-directed with Dr Rita Noumeir) on the development and validation of clinical decision support systems using artificial intelligence, and then funding for a group in the same field. With the team around me, we are now implementing these systems in clinical settings.
I collaborate with several research engineers in the development of medical devices based on new technologies including: electrical impedance tomography (A Adler, Carleton University), machine learning in imaging (R Noumeir, ETS ; L Seoud, Polytechnique Montréal), mathematical modeling and CCDSS (N Larichi & LM Rousseau, Polytechnique Montréal & HEC), validation of CCDSS for intensive care management using high-resolution databases. Over the years, I've acquired extensive experience in the various phases of medical device development, from design to implementation.
Dr. Philippe Jouvet is a pediatric intensivist at CHU Sainte-Justine and a full professor in the Department of Pediatrics at Université de Montréal. Dr. Jouvet is a senior clinician-researcher at the FRQS and is currently co-director of the group on artificial intelligence (AI) applied to children's acute care, and director of the Quebec AIRS research network on the impact of air and sound quality on health in Quebec.
Almost $40 million in grants from the Innovation Fund of the Canada Foundation for Innovation