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Readmissions 'Drop Like a Rock' with Predictive Modeling

Scott Mace, for HealthLeaders Media, October 8, 2013

It takes an entire team to build predictive modeling excellence in your organization: mathematicians, epidemiologists, and other highly-trained specialists, and, according to Peele, even a journalist. "If the C-suite can't consume it, it doesn't make any difference, and the C-suite is accustomed to getting their information filtered through a professional journalist."

(Talk about validating one's role in life.)

Just listening to Peele—a PhD economist by training—and Vanzandbergen—a physician assistant by training who fell into clinical IT work about six years ago—makes me confident that healthcare organizations can use predictive analytics to tame readmissions, and that's just for starters.

Join me on a webcast with clinical decision support experts from Penn Medicine and University of Pittsburgh Medical Center. They’ll reveal how they powered predictive analytics to reduce readmissions, improve care, and reduce financial risk. October 28, 2013, 1:00–2:30 p.m. ET. Register today.


Scott Mace is senior technology editor at HealthLeaders Media.
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