What Twitter can tell us about the health of a community
While Twitter doesn’t provide a representative sample of the population, it can nonetheless reveal useful…
Biases in algorithms hurt those looking for information on health
Just because YouTube recommends a video doesn't mean it has medically valid information.
How machine learning can improve patient communication
Using machine learning enabled an understanding of how the effectiveness of outreach programs differed markedly…
Co-creative approaches to knowledge production and implementation series (part 7): Critical success factors for building trust and sharing power for co-creation in Aboriginal health research
How SEARCH, a co-creative partnership between Aboriginal services, researchers, policymakers, and clinicians, has built trusting…
Man against machine: diagnostic performance of a deep learning convolutional neural network in comparison to 58 dermatologists [Top 100 journal articles of 2018]
Researchers found that artificial intelligence (AI) outperformed most dermatologists in melanoma detection, indicating that AI…
Putting clinical evidence into practice
The medical sector faces significant challenges in rapidly incorporated new knowledge into practice. Can technology…
Scaling-up digital health to help achieve universal health care
A recent paper proposes an evidence-informed “resilient health system framework” as a guide for policy…
Knowledge management implementation and tools for informed decision-making in healthcare
The adoption of the effective strategies for managing knowledge is vital for effective evidence-based medical…
Community engagement models can lead to improved health in disadvantaged populations
A systematic review examines the research in regard to community engagement models associated with improved…
The policy implications of using big data in healthcare
A new European Commission paper examines the issue of big data in healthcare, including the…
