News | Information Technology | February 04, 2016

ACR 2016 Highlights Healthcare Technology Solutions for Radiologists

Informatics and Innovations sessions explore advanced data science tools, clinical decision support, EMR optimization and teleradiology

ACR 2016, American College of Radiology, Informatics and Innovations sessions, healthcare IT

February 4, 2016 — The American College of Radiology’s ACR 2016 annual meeting offers 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.

ACR’s annual all-member meeting will be held May 15–19 in Washington, D.C. The keynote address is being given by Ezekiel J. (Zeke) Emanuel, M.D., Ph.D., an architect of the Affordable Care Act.

Special events include Capitol Hill Day, with exclusive meetings scheduled for members to bring the voice of radiology to elected officials; the Body MRI Boot Camp and the Economics Forum. Sessions are organized into nine Knowledge Pathways, with more than 100 hours of continuing medical education (CME) programming. The five-day meeting offers special sessions for residents, fellows and early-career physicians.

“Radiology professionals must better understand new advances in healthcare 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, M.D., co-chair of 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, M.D., Informatics and Innovations pathway co-chair.

The Crossroads of Radiology Informatics and Innovations sessions — with expert presenters — will include:

  • 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 radiologists and seeks to demonstrate the value and impact of radiology on healthcare, empowering radiologists to lead transformational change initiatives in health systems by focusing on quality and outcomes;
  • Implementing Clinical Decision Support: Opportunities and Challenges offers radiologists, administrators and IT professionals an understanding of the process of implementing radiology clinical decision support in the inpatient, emergency department and outpatient environments;
  • Actionable Findings and Communication: Challenges and Opportunities focuses on challenges associated with monitoring patients with incomplete follow-up and solutions that may be implemented to address this opportunity to improve the care of patients;
  • Image Exchange: Where We Are and Where We Are Going and Teleradiology — Challenges and Opportunities highlights how image sharing expedites the exchange of imaging exams and enhances workflow;
  • Optimizing Your Electronic Medical Record (EMR) and Mobile Technology delves into mobile technology and electronic medical records — demonstrating how best to leverage EMR technology into the interpretive process; and
  • Tools for Radiologists and Social Media explores how emerging computer-assisted reporting/decision support fits into radiologists’ practices, how developed content will appear to the practicing radiologist at point-of-care, and which social media tools and platforms can be used to enhance an existing personal online presence.

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