Podcast: How Clinical Decision Support Tools Can Improve Outcomes (Part One)

Samara Rosenfeld
JANUARY 21, 2020


Clinical decision support tools have the power to help clinicians make more accurate diagnoses. These technologies have the potential to be lifesaving in areas such as cancer, vascular disease and infection, where conditions are often missed or misdiagnosed.

On part one of this special two-part episode of Data Book, Paul Cerrato, former editor of InformationWeek Healthcare, discusses his latest book, Reinventing Clinical Decision Support, which is co-authored by John Halamka, M.D., president of the Mayo Clinic Platform; the cause of diagnostic errors; and how machine learning can improve patient outcomes.

Cerrato has more than 30 years of experience working as a research analyst, medical journalist, clinician, and educator and has written extensively on clinical decision support, electronic health records, protected health information security and practice management. For listeners attending HIMSS 2020 in Orlando, Florida, Cerrato and Halamka will be leading a preconference session “Reinventing Clinical Decision Support” on Monday, March 9 from 1:30–2:10 p.m. and an educational session “Reinventing Clinical Decision Support With Machine Learning” on Tuesday, March 10 from 12–1 p.m.

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