Collaborative strategies for deploying AI-based physician decision support systems: challenges and deployment approaches

被引:12
|
作者
Mittermaier, Mirja [1 ,2 ,3 ]
Raza, Marium [4 ]
Kvedar, Joseph C. [4 ]
机构
[1] Charite Univ Med Berlin, Freie Univ Berlin, Berlin, Germany
[2] Humboldt Univ, Dept Infect Dis Resp Med & Crit Care, Berlin, Germany
[3] Charite Univ Med Berlin, Berlin Inst Hlth, Charitepl 1, D-10117 Berlin, Germany
[4] Harvard Med Sch, Boston, MA USA
关键词
CANCER;
D O I
10.1038/s41746-023-00889-6
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
AI-based prediction models demonstrate equal or surpassing performance compared to experienced physicians in various research settings. However, only a few have made it into clinical practice. Further, there is no standardized protocol for integrating AI-based physician support systems into the daily clinical routine to improve healthcare delivery. Generally, AI/physician collaboration strategies have not been extensively investigated. A recent study compared four potential strategies for AI model deployment and physician collaboration to investigate the performance of an AI model trained to identify signs of acute respiratory distress syndrome (ARDS) on chest X-ray images. Here we discuss strategies and challenges with AI/physician collaboration when AI-based decision support systems are implemented in the clinical routine.
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页数:2
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