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Once considered a revolutionary way to keep patient data secure and easily accessible, blockchain continues to look for its sweet spot, according to John Halamka, MD, and Paul Cerrato of Mayo Clinic Platform. In this piece, they examine what we know the technology – and what remains unknown.
With one major milestone of the interoperability rule checked off and another approaching quickly, it’s time for leaders to “take the reins and turn these rules into actionable insights for clinicians and patients,” according to John Halamka, MD, and Paul Cerrato of Mayo Clinic Platform.
By combining the right data with the right models, social determinants of health are a powerful asset in predictive models of health, outcomes, and potential health disparities, according to researchers from Mayo Clinic Platform and Change Healthcare.
It’s not enough to provide evidence that AI tools are clinically effective; practitioners want reasonable explanations demonstrating that “they will do what they claim to do,” according to Dr. John Halamka and Paul Cerrato of Mayo Clinic Platform.
The most sophisticated algorithms for screening diseases and improving treatments won’t do much good if they misrepresent the populations they seek to serve, according to Paul Cerrato and Dr. John Halamka. In this blog, they discuss the “ethical dilemma” that can deter digital health initiatives.
