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The problem with digital health adoption? Developers (especially startups) want to move quickly, whereas physicians want to see evidence, which can be “time-consuming and expensive to obtain,” according to Joseph Kvedar, MD.
Cognitive errors challenge clinicians and technologists alike, according to John Halamka, MD, and Paul Cerrato of Mayo Clinic Platform. Being aware of the types of mistakes that can occur is the first step toward fixing them.
For CIOs and other leaders, it’s not about trying to solve the nation’s drug crisis, but rather, leveraging technology to control the number of prescriptions being written, and present information to caregivers at the point of care, said a group of experts.
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.
Although the human brain has its limitations, it is capable of detecting subtle relationships among risk factors, behaviors, and disease, according to John Halamka, MD, and Paul Cerrato of Mayo Clinic Platform. When used in combination with data science and AI, “there’s no limit to what we can accomplish.”
