Assessing Credibility: Quality Criteria for Patients, Caregivers, and the Public in Online Health Information-A Qualitative Study.

The increasing reliance on the Internet for health information has raised concerns about patients using unreliable and potentially harmful content. This study aimed to establish quality criteria to assist patients, caregivers, and the public in evaluating the reliability of online health information. We conducted focus group workshops with 25 participants recruited across Canada, proficient in either English or French.

Inferior: The Challenges of Gender Parity in the Artificial Intelligence Ecosystem-A Case for Canada.

Artificial Intelligence (AI) systems are gaining momentum in complementing and/or replacing performing tasks typically done with the aid of human ability. AI systems, inherently human creations, are, however, beset by, wittingly or unwittingly, so-called male chauvinism, despite all the advancements made in the progress of civilization to make inroads for women's equitable participation in the labor force, particularly in relation to the digital economy, and more importantly, AI. In regards to the Canadian context, this perspective has examined the evidence to find research highlighting gender representation in the Canadian AI ecosystem.

Developing a Quality Benchmark for Determining the Credibility of Web Health Information- a Protocol of a Gold Standard Approach.

The current pandemic of COVID-19 has changed the way health information is distributed through online platforms. These platforms have played a significant role in informing patients and the public with knowledge that has changed the virtual world forever. Simultaneously, there are growing concerns that much of the information is not credible, impacting patient health outcomes, causing human lives, and tremendous resource waste.

Improving cancer control in Canada one case at a time: the "Knowledge Translation in Cancer" casebook.

Purpose: In-the-field projects aiming to improve quality in cancer control provide a valuable complement to health services and knowledge translation (kt) research studies. The present paper describes the methods used to develop the Knowledge Translation for Cancer Control in Canada: A Casebook and its results.

Methods: Nominations for in-the-field projects were accepted from individuals and organizations across Canada.