概念化社会辅助机器人作为医疗保健中的数字治疗工具
Cedomir Stanojevic1, Casey C Bennett2,3, Selma Sabanovic4
1Department of Parks Recreation and Tourism Management, College of Behavioral and Social Health Sciences, Clemson University, Clemson, SC, United States.
人工智能 (AI) 和数字健康 (DH) 创新提供了有前途的医疗保健解决方案. 然而,验证多种数字疗法 (DTx) 和DH系统的挑战阻碍了广泛采用和患者受益.
科学领域:
- 数字健康数字健康
- 人工智能的人工智能
- 医疗保健技术 技术 医疗保健 技术
背景情况:
- 整合人工智能和生物标志物的数字健康 (DH) 系统正在改变医疗保健的提供和管理.
- 数字疗法 (DTx) 代表了DH的专门子集,提供数据驱动的干预措施,以改善患者的治疗结果并减少医疗保健访问.
- 集成到DH和物联网生态系统中的社会辅助机器人 (SAR) 可以远程监控患者的行为和健康状况.
研究的目的:
- 探索人工智能驱动的DH系统和DTx在现代医疗保健中的作用.
- 突出SARs作为DTx工具在集成DH和IoT框架中的潜力.
- 确定DH和DTx解决方案的验证和采用的主要障碍.
主要方法:
- 审查当前趋势和投资的数字卫生系统.
- 分析社会辅助机器人 (SARs) 作为数字治疗 (DTx) 的能力和整合.
- 审查验证和采用DH和DTx技术所面临的挑战.
主要成果:
- 显著的全球投资 (2021年为5720亿美元) 强调了DH系统的潜力.
- 当SARs集成到DH和IoT生态系统中时,它可以提供远程患者监控功能.
- 在技术,临床,系统和隐私领域缺乏标准化的验证流程,阻碍了DH和DTx的采用.
结论:
- 由人工智能驱动的DH和DTx工具,包括SARs,对提高患者护理和管理具有重大承诺.
- 标准化验证框架对于克服采用障碍和实现这些技术的全部潜力至关重要.
- 解决验证和监督挑战对于成功将DTx和DH系统集成到主流医疗保健中至关重要.
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