The End of Radiology? Three Threats to the Future Practice of Radiology

被引:96
作者
Chockley, Katie [1 ]
Emanuel, Ezekiel [1 ]
机构
[1] Univ Penn, Perelman Sch Med, Dept Med Eth & Hlth Policy, 423 Guardian Dr,Room 1411,Blockley Hall, Philadelphia, PA 19104 USA
关键词
Machine learning; payment reform; technology; future of health care;
D O I
10.1016/j.jacr.2016.07.010
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
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.
引用
收藏
页码:1415 / 1420
页数:6
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