healthcare
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Brain power
A model for rapid learning and action in the face of COVID-19 uncertainty
The Nightingale learning system involves identifying and addressing problems on a 24-hour cycle, and the architecture is potentially transferable to…
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Brain power
Biases in algorithms hurt those looking for information on health
Just because YouTube recommends a video doesn't mean it has medically valid information.
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Systems and complexity
The Knowledge Translation Complexity Network (KTCN) model
The KTCN model uses complexity and network concepts to better inform knowledge translation.
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Systems and complexity
Putting clinical evidence into practice
The medical sector faces significant challenges in rapidly incorporated new knowledge into practice. Can technology help?
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Brain power
Are doctors the weak link in terms of medical security?
Research findings underscore the critical need for increased data protection in the healthcare industry.
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Systems and complexity
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 makers to scale-up digital health.
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Systems and complexity
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 practice (EBMP).
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Systems and complexity
Creating synergistic interprofessional teams
A summary of the tools, strategies, and methods used to create synergistic interprofessional teams.
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Stakeholder and community engagement
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 health in disadvantaged populations.
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In the news
Campaigning for decisions in the healthcare sector to be fully evidence-based
Every day across the healthcare sector in England, over a million decisions are made that have a profound and lasting…