从业者对早期预警系统的态度:从专业干扰到关系支持

L. Campbell, Amrita George, Shion Guha
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引用次数: 0

摘要

随着美国普通人口的老龄化和预期寿命的增加,对虚拟医疗保健的需求正在上升。毫无疑问,未来几十年,自动化患者护理和数据驱动预警系统的使用将会增加,这一趋势在2019冠状病毒病之后已经加速。因此,了解经过传统培训的医疗从业人员如何响应预测分析(如早期预警系统),对于他们未来的成功实施至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Practitioner Attitudes towards an Early Warning System : From Professional Distraction to Relational Support
As the general population ages and life expectancy increases in the United States, demand for virtual health care is on the rise. Undoubtedly, the next several decades will see increases in automated patient care and use of data-driven warning systems, trends which have already accelerated in the wake of Covid-19. Thus, understanding how traditionally trained healthcare practitioners respond to predictive analytics, like early warning systems, is vital for their successful implementation in the future.
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