Development of a standalone web application to facilitate the exploration of peer-to-peer matching algorithms and their associated benefits and drawbacks

Student

Directeur.e(s) de recherche

John Kildea

Start date

2022-05-09

Title of the research project

Development of a standalone web application to facilitate the exploration of peer-to-peer matching algorithms and their associated benefits and drawbacks

Description

The cancer experience and the uncertainty surrounding it is anxiety provoking. One way in which the non-clinical uncertainty of the cancer experience can be reduced is through peer support. The Opal Health Informatics Group seeks to evaluate the efficacy of an artificial intelligence-based peer support matching algorithm in the pre-existing patient portal Opal in the hopes of facilitating peer support programs (for cancer patients and their caregivers) in Quebec.

Our work focused on the architectural design, development, and demonstration of a proof of concept stand-alone web application used to demonstrate the results of several varieties of AI-powered matching algorithms on test patient data.

Discover

Featured project

Detection of delirium using physiological parameters and hypovigilance monitoring: a pilot observational cohort study

Student member : Raphaëlle Giguère

Delirium is a condition that, when left unmanaged, is associated with increased mortality and longer hospitalization of patients in intensive care; therefore, its detection should be an integral part of care. It is characterized by confusion, anxiety and reduced alertness. It is estimated that 75% of delirium cases are not detected on admission to hospital. Detecting such an acute condition requires frequent monitoring of participants, which is labor intensive and requires expertise.