How is your data working for you?
We exist to support health system professionals to think critically about harnessing the power of health data. We approach this work with curiosity and compassion and help leaders across the health system steward equity and design inclusive digital health solutions.
Associate Professor at Western University
Dr. Lorie Donelle
Lorie Donelle was inspired to launch Health in All Data from her research across health literacy, equity, and digital health. She is an Associate Professor at Western University in the Arthur Labatt Family School of Nursing and a Scientist with the Lawson Health Research Institute in London Ontario and is an inaugural member of Fellows of the Canadian Academy of Nursing (FCAN).
She holds an endowed research chair – the Arthur Labatt Family Chair in Nursing focused on digital health. Dr. Donelle’s research addresses health promotion specific to issues of health & digital health literacy(s), social justice, and digital health. Her research investigates technology-enabled models of healthcare and the relationships between health information technologies and client/clinician health practices.
Dr. Donelle contributes to International and national advisory committees for health literacy and digital health.
Understanding “Health in All Data”
Our work is grounded in the social determinants of health, which consider the economic and social conditions that influence our health.
This includes systems like social services, education, employment, or financial services to name a few.
Within this context, data collected across these systems, such as purchasing history, fitness indicators and location data, can paint a picture of your health and may reveal intimate details about your life.
This information is increasingly sold to third-parties to target us with ads based on our preferences and ultimately profit off our personal data. While this seems harmless, the scope and reach of these practices are rapidly expanding – this practice can be used as a tool for surveillance and is/will disproportionately impact marginalized communities
Explore our infographics that help you bring the ‘Health in All Data’ concept to your teams.