Being “Patient,” Even With AI

This post was contributed by Geraldine B. McGinty, MD, MBA, FACR, vice chair of the American College of Radiology (ACR) Board of Chancellors and chair of the ACR Data Science Institute (DSI) Advisory Group.

Dr.McGinty(updated)_andcroppedArtificial intelligence (AI) and machine learning have the potential revolutionize medicine including radiology. But, the right tools must be developed and implemented to help us improve patient care. The American College of Radiology launched the ACR Data Science Institute (DSI) to do just that.

A key component of the DSI’s success is the creation of the DSI Advisory Group. We are bringing the brightest imaging informatics minds together with industry/technology stakeholders and patient advocates. It’s critical that we include the perspective of our patients, and we are fortunate to have engaged the patient advocate members of the Commission on Patient- and Family-Centered Care Informatics Committee.

The DSI Advisory group also includes a broad spectrum of ACR members — including those from private practice, research and education. Members in training, early-career professionals and those in small and rural practices, radiation oncology and physics are involved. We have members from the Economics, Quality and Safety and Women and Diversity commissions.

Together, we will move the ACR DSI mission to “advance and validate artificial intelligence in medical imaging for the benefit of our patients and profession” forward.

Each Advisory Group member was asked to share an initial perspective on the opportunities and challenges around AI. These include:

  • How do we value augmented physician effort in fee for service payment?
  • Who can use and own patient data?
  • How do we communicate our view for the future?
  • How do we use AI in our practices?

These and other questions will be answered in the coming months — and years. Radiology must shape future health care or be shaped by someone else’s vision of 21st century medicine.

What do you see as opportunities with AI in medical practice?

What are our challenges with AI in medical practice?

Please share your thoughts in the comments section below and join the discussion on Engage (login required).

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