Data trusts are a key part of a health data infrastructure that manages user and patient information in a responsible, transparent and accountable manner.
A national health plan that uses data to assess individual risk and control disease outbreaks would have created less disruption than the current coronavirus pandemic response.
A recent report by the CDC estimated that the true number of COVID-19 cases in the US could be six to 24 times more than the number of confirmed cases. A public health scholar explains the implications.
People living in long-term care facilities have been disproportionately affected by COVID-19 in Canada. A new report analyzing long-term care around the world assesses Canada’s pandemic performance.
It is only with comparable data that scientists can assess whether the measures they implement are effective in protecting citizens, and better prepare for future health crises.
Breastfeeding is important for infant and maternal health. But without national data non breastfeeding rates, we have no idea whether things are improving or getting worse.
The COVID-19 pandemic presents potentially concerning trajectories for race relations. Many of these concerns might even originate within the medical profession.
On the 200th anniversary of Florence Nightingale’s birth, we take a look at how her monumental efforts helped shape the way we model health care and disease outbreak data today.
Government privacy commissioners are investigating a data breach at one of Canada’s largest medical services companies, after hackers gained access to the personal information of 15 million customers.
The digitization of health care in Canada has been a bumpy ride — due to lack of focus on governance, and lack of emphasis on interoperability, transparency and accountability.
As more data are collected, it’s important for the public to understand how their health information is being used. But user agreements are often complex, lengthy and written in inaccessible language.
Health-care providers are increasingly relying on large data sets to deliver services. However, Small Data approaches provide nuance and context, and in some instances can be more beneficial.
Professor (adjunct) and Senior Fellow, Institute for Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto
Honorary Enterprise Professor, School of Population and Global Health, and Department of General Practice and Primary Care, The University of Melbourne