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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.
“AI is going to provide care pathways, care navigation, and triage to an environment that has fewer practicing clinicians,” said Dr. John Halamka in a recent webinar. But the algorithms can be flawed, and CIOs need to do proper diligence.
By implementing a fluid strategy, rather than a 5-year plan, organizations are able to pivot quickly and reallocate resources based on changing needs, said Bradd Busick, CIO at MultiCare Health System. “That’s the magic in this process.”
For clinical and IT leaders, the most important goal is to “act as a strategic partner” when approached with an opportunity, and identify the right technology that can be a force multiplier, said David Kaelber, MD, CMIO at MetroHealth.
