Journal
JOURNAL OF THE AMERICAN COLLEGE OF RADIOLOGY
Volume 13, Issue 12, Pages 1415-1420Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.jacr.2016.07.010
Keywords
Machine learning; payment reform; technology; future of health care
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Radiology faces at least three major, potentially fatal, threats. First, as care moves out of the hospital, there will be a decrease in demand for imaging. More care in patients' homes and in other nonhospital settings means fewer medical tests, including imaging. Second, payment reform and, in particular, bundled payments and capitation mean that imaging will become a cost rather than a profit center. These shifts in provider payment will decrease the demand for imaging and disrupt the practice of radiology. Potentially, the ultimate threat to radiology is machine learning. Machine learning will become a powerful force in radiology in the next 5 to 10 years and could end radiology as a thriving specialty.
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