About this event
Current and near-future requirements and constraints will require radiology practices to continuously improve and to demonstrate the value they add to the healthcare enterprise. Merely "managing the practice" will not be sufficient – groups will be required to compete in an environment where the goal will be measurable improvements in efficiency, productivity, quality, and safety. There has been great interest (as well as fear and hype) regarding the application of deep learning and other artificial intelligence approaches to help improve the radiology value proposition. This session will attempt to provide a “reality check” on how these potentially promising technologies might be used by radiology and the significant challenges involved. This webinar will answer the following questions:
- How can we best apply deep learning/artificial intelligence to add “true value?”
- How do we confidently validate the performance of these technologies?
- How can our existing IT systems “feed and consume” these technologies efficiently and at scale?
- How can we best harmonize the human radiologist with these machine agents?
Who can attend
Registration is limited to ISMIE and SEMPIC policyholders and their employed staff.
Learning objectives
At the conclusion of this learning activity, participants will be able to:
- Describe a realistic perspective on how deep learning and artificial intelligence can add value to radiology
- Summarize the challenges as they relate to the practical implementation of deep learning/artificial intelligence offerings into existing radiology workflow and IT infrastructure
- Identify strategies for preparing the radiology and IT departments for deep learning/artificial intelligence
About the presenter
Paul Chang, MD, FSIIM, is Professor and Vice-Chairman of Radiology Informatics at the University of Chicago School of Medicine. An internationally recognized expert in imaging informatics, he was a co-founder of Stentor PACS (acquired by Philips Medical Systems), which was based on a novel lossless wavelet-based image distribution algorithm co-invented by Dr. Chang. In 2005, he was inducted as a Fellow to the College of the Society for Computer Applications in Radiology (SCAR/SIIM). In 2016, Dr. Chang was awarded the Gold Medal by the RSNA “for having revolutionized the practice of radiology through his expertise in the field of imaging informatics.”
Accreditation
This activity has been planned and implemented in accordance with the accreditation requirements and policies of the Accreditation Council for Continuing Medical Education (ACCME) through the joint providership of the Illinois State Medical Society and ISMIE Mutual Insurance Company. The Illinois State Medical Society is accredited by the ACCME to provide continuing medical education for physicians.
Credit Designation
The Illinois State Medical Society designates this live activity for a maximum of 1 AMA PRA Category 1 CreditTM. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
Disclosure
Dr. Paul Chang is a member of AIDoc, Inference Analytics, and Subtle Medical advisory boards as well as receives grants and contracts from Philips. All conflicts have been resolved. All planners and others in control of content have disclosed no relevant financial relationships with ACCME-defined commercial interests.
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