Lunch 'n' Learn | Co-Designing an AI Decision Support tool with Alliance Members: The Journey So Far and Next Steps

In this interactive webinar, Dr. Jaky Kueper and Sara Bhatti described the progress made in Phase 1 of the Alliance Practice-Based Learning Network (PBLN) project to develop an AI decision-support tool, described the roadmap for Phase 2, and gathered feedback from participants to inform the Phase 2 co-design process.

Walk the Talk: Empowering Patients and Community Members in Healthcare Delivery Research

This article highlights the integrated work of the East Toronto Health Partners and their high-priority communities. It describes how they built a community-embedded learning health system in which patient partners are included in each step of the research cycle, from idea generation to dissemination. 

Projet de création conjointe d’un outil d’aide à la décision reposant sur des données | Phase 1 : Détermination du problème

La croissance rapide du volume de données générées et recueillies en matière de soins de santé, conjuguée aux avancées dans les méthodes et technologies d’analyse de données, transforme le domaine de la santé. L’intelligence artificielle (IA) et les outils connexes d’aide à la décision ont un potentiel exceptionnel pour exploiter les données en vue d’améliorer la qualité et d’adapter les programmes et services pour répondre aux besoins des communautés.

Data-Driven Decision Support Tool Co-Development Project | Phase 1: Problem Scoping

A rapid increase in the amount of health care data being generated and collected, coupled with advancements in data-analysis methods and technologies, is transforming healthcare. Artificial intelligence (AI) and related decision-support tools show remarkable potential for using data to empower quality improvement and tailoring of programs and services to meet client and community needs.

Pages