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In the past year, our blogs have examined a variety of pertinent topics, from clinical informatics to artificial intelligence to the ever-evolving CIO role. Here, we unveil the most popular blog posts from our contributing authors.
The digital models designed to provide accurate, unbiased care can’t succeed if there are still algorithmically underserved populations, according to Mayo Clinic researchers, who provide some practical solutions in this piece.
To truly make an impact, AI-enabled algorithms must be deployed with the help of an interprofessional team of experts and a set of “delivery science” principles that most developers are not aware of, according to Dr. John Halamka and Paul Cerrato of Mayo Clinic Platform.
Although there are myriad challenges with incorporating tools like machine learning into care environment, the upside is simply too promising to pass up, said John Halamka, MD, during a healthcare IT policy discussion. “There’s a perfect storm happening.”
Physicians may never trust machine-learning-based algorithms completely. However, if developers provide right visualization tools, it may give them more confidence in an algorithm’s diagnostic and therapeutic skills, according to Paul Cerrato and John Halamka, MD.
