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患者偏好作为健康数据推系统和骨科实践中共享决策的人为因素

Akanksha Singh1,2, Benjamin Schooley2,3, Sarah B Floyd2,4

  • 1Department of Integrated Information Technology, College of Engineering and Computing, University of South Carolina, Columbia, SC, United States.

Frontiers in digital health
|July 6, 2023
PubMed
概括

了解患者治疗结果偏好 (TOP) 对人工智能驱动的健康建议至关重要. 一个新的应用程序收集这些偏好,以改善骨科的共享决策,提高患者满意度和治疗成功.

关键词:
卫生推者系统的健康推者系统人为因素设计设计患者的偏好,患者的偏好.共享决策的共同决策.治疗效率 治疗效率 治疗效率治疗结果偏好治疗结果偏好.

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