2025 Canadian Digital Health Survey

Understanding Canadian’s experiences with AI in healthcare and digital health

About the Survey

This page presents results from the 2025 Canadian digital health survey, including trends for selected questions from previous survey years where data are available. The survey is conducted annually and draws on a range of utilization and tracking metrics, along with patient-reported experience measures (PREMs) related to digital health services and AI in Canada. These findings offer actionable insights to help advance the digital health landscape in Canada

Please click here to access the full survey results report.

Suggested citation: Canada Health Infoway (2026). Infoway Insights: 2025 Canadian Digital Health Survey. https://insights.infoway-inforoute.ca/2025-digital-health-survey

Survey Topics

The survey collects data on access to and use of a range of digital health services, including electronic access to personal health information and patient summaries through patient portals, AI-powered chatbots for health concerns, online appointment booking and rescheduling, and virtual care services. It also gathers information on factors associated with access and patterns of use, such as socio-demographic, economic, racial, geographic and health status characteristics. In addition, the survey includes a set of patient-reported experience measures (PREMs) that capture experiences and perspectives related to connected health, care coordination, and the growing use of AI scribes to convert healthcare provider–patient conversations into clinical notes for documenting patient visits.
  • Digital Health Service Access
    This section provides insights into the current state of digital health uptake among Canadians, including their interest in, access to, and unmet demand for digitally enabled health services. It explores a range of services, including online access to personal health information (PHI), e-booking with health providers, virtual visits, and consultations with AI chatbots for healthcare concerns.
  • Online Access to PHI
    This section dives into how Canadians access their personal health information (PHI) and the platforms they use – such as provincial/territorial portals, provider-offered portals, lab service providers – and the types of health records available to them. It also examines Canadians’ experiences with, and perceptions of the platforms used to access their PHI.
  • Experience with Connected Care
    This section highlights how Canadians are using digital health solutions to support more connected healthcare. It covers the sharing of wearable data and patient summaries with providers, as well as satisfaction with access, provider-to-provider communication, and quality of care. It also examines experiences with data sharing between providers and its impact on care coordination.
  • Experience with Artificial Intelligence (AI) in Healthcare
    This section examines Canadians’ awareness, experiences, and attitudes toward the integration of artificial intelligence (AI) into clinical care. It provides insights into Canadians’ perceptions of AI in healthcare, including the use AI scribes to convert provider–patient conversations into clinical notes during health encounters/visits, as well as trust, comfort, and consent preferences related to these technologies. The section also explores the use of AI chatbots for health-related information, interpreting medical records, providing guidance, and supporting wellness. It captures how Canadians interact with AI, how frequently they use it, and their level of trust in the information it provides.
  • Digital Health Literacy
    Digital health literacy is an important driver of the uptake of digital health services. This section presents Canadians’ digital health literacy scores calculated from the eHEALS assessment tool.
  • Respondent Profile
    This section provides the characteristics of survey respondents, including age, gender, geographic location, and other factors describing the study sample.

Data Tables

Access banner tables with breakdowns for key demographic and health utilization attributes for each question on this and previous years’ surveys.

The raw data sets from the surveys referenced on this website along with those from other research conducted by Infoway can be accessed using the link here

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