CTI-Lab

CogNeat: Artificial Intelligence (AI) to reduce cognitive and information overload in Hospital

Sylvie Grosjean of the Communication Department is collaborating with the Montfort Knowledge Institute (Institut du Savoir Montfort) on a research project (CHRI funding) which investigates how an Artificial Intelligence (AI) technology could help clinicians and nurses working in hospital to manage digital stress. The main purpose of the project is to design a technology (based on a Machine Learning) that allows clinicians to manage the different forms of cognitive and information overload they face on a daily basis. This interdisciplinary project is based on a Participatory Design Approach involving physicians and nurses in the design and development of this AI technology.

Publications:

[1] Grosjean, S., Bonneville, L. & Marrast, P. (2019). Innovation en santé conduite par les médecins et infirmières : l’approche du design participatif à l’hôpital [Health Innovation Driven by Physicians and Nurses: A Participatory Design Approach in Hospital] Innovations, 60(3), 69-92.

[2] Grosjean, S. (2019). L’interopérabilité sociale de l’IA en santé : Un enjeu pour le design d’algorithmes situés dans des pratiques [Social Interoperability of AI in Health: An Issue for the Design of Algorithms], Revue Française des Sciences de l’Information et de la Communication (RFSIC). https://journals.openedition.org/rfsic/6138

Note: Project funded by Canadian Institutes of Health Research (CIRH).

Contact: sylvie.grosjean@uottawa.ca

 

Keywords Digital Stress, Hospital, Information Overload, Participatory Design, Machine Learning, eHealth Technology