ACR 2016 Highlights Health Care Technology Solutions for Radiologists

WASHINGTON, DC — ACR 2016—The Crossroads of Radiology® will offer sessions on advanced data science tools, clinical decision support and electronic medical records (EMRs) optimization to help radiology professionals support enterprise imaging initiatives and adapt to new alternative payment models. “Radiology professionals must better understand new advances in health care technology and how these developments can help them document quality-based care, to continue to demonstrate the value of the specialty,” noted William W. Boonn, MD, co-chair of the ACR 2016 Informatics and Innovations pathway. “With this year’s sessions, attendees gain understanding of the practical use — and integration — of new information technology (IT) solutions, especially important as medicine moves from volume- to value-based care,” added David S. Hirschorn, MD, Informatics and Innovations pathway co-chair.    The Crossroads of Radiology® Informatics and Innovations sessions — with expert presenters — are listed below. Newly added Machine Learning, Deep Learning, Big Data and Data Science in Radiology introduces radiologists to how machine learning (an area of artificial intelligence) and big data may impact future medical imaging interpretation. Quality and Productivity Metrics: Using Business Intelligence Tools and Data Mining Strategies to Demonstrate Value builds on clinical knowledge of radi...
Source: American College of Radiology - Category: Radiology Source Type: news