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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.”
“The EHR is like the nervous system of the healthcare system,” said David Kaelber, MD, CMIO at MetroHealth System, during a recent interview. “With everything that our board or CEO wants us to do better, there’s a role for my team in doing that.”
With data playing an increasingly large role in driving decision-making, particularly through dashboards and toolkits, it has become critical for healthcare organizations to ensure a high level of quality, said our panelists during a recent webinar.
