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.

Primary care for all: lessons for Canada from peer countries with high primary care attachment

KEY POINTS

  • Canada spends less of its total health budget on primary care than the average among Organisation for Economic Cooperation and Development (OECD) countries (5.3% v. 8.1%).

  • Canada can learn lessons to inform policy on primary care from OECD countries like the United Kingdom, Norway, Netherlands and Finland where more than 95% of the population has a regular primary care clinician or place of care.

Evaluating an Integrated Local System Response to the COVID-19 Pandemic: Case Study of East Toronto Health Partners

Abstract

Introduction

East Toronto Health Partners (ETHP) is a network of organizations that serve residents of East Toronto, Ontario, Canada. ETHP is a newly formed integrated model of care in which hospital, primary care, community providers and patients/families work together to improve population health. We describe and evaluate the evolution of this emerging integrated care system as it responded to a global health crisis.

Virtual care in Ontario community health centres: a cross-sectional study to understand changes in care delivery

Abstract

Background

There has been a large-scale adoption of virtual delivery of primary care as a result of the COVID-19 pandemic.

Aim

In this descriptive study, an equity lens is used to explore the impact of transitioning to greater use of virtual care in community health centres (CHCs) across Ontario, Canada.

Design & setting

A cross-sectional survey was administered and electronic medical record (EMR) data were extracted from 36 CHCs.

Using the quadruple aim to understand the impact of virtual delivery of care within Ontario community health centres: a qualitative study

Background

The onset of the COVID-19 pandemic and introduction of various restrictions resulted in drastic changes to 'traditional' primary healthcare service delivery modalities.

Aim

To understand the impact of virtual care on healthcare system performance within the context of Ontario community health centres (CHCs).

Design & setting

Thematic analysis of qualitative interviews with 36 providers and 31 patients.

Pages