Event date: 6/20/2017 1:00 PM - 2:00 PM Export event Alyssa Thomas / Tuesday, June 6, 2017 / Categories: Health IT Enabled QI, HIT Events Lessons Learned in Advancing Predictive Analytics in Healthcare A HIMSS Learning Center Webinar As the healthcare industry moves to implement precision medicine in care delivery, healthcare systems are analyzing massive volumes of data toward the goal of increasing the accuracy and speed of clinical care. During this transition, healthcare IT managers are facing the challenge of managing different types of data to build systems that provide clear results to clinicians. Penn Medicine's Chief Data Scientist Michael Draugelis will share the lessons learned from programs that have been developed at Penn to deliver clear benefits in improving outcomes. Key highlights of the presentation will include how Artificial Intelligence (AI) can advance treatment and prevention as well as scientific and technical challenges for AI to be successful. Resource Links Click here to register for this HIMSS Webinar.Key highlights of the presentation will include how Artificial Intelligence (AI) can advance treatment and prevention as well as scientific and technical challenges for AI to be successful. Previous Article Preventing Diabetic Blindness: The Innovative Solutions of 3 Health Systems to Achieve a 5-Star Goal Next Article NPDB Technical Assistance Webinar: Health Center Attestation Print 27668 Tags: Health IT data Information Technology analytics artificial intelligence Related Resources Performance Measure Data Definition Worksheet Older Adults' Protected Health Information: A Complex Ethical Case Discussion Improving Diabetes Outcomes Addressing Childhood Obesity in Health Centers EHR Optimization Series: Part One of Three
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