应对基于人工智能的远程医疗的挑战:最佳实践和经验教训
Sachin Sharma1, Raj Rawal2, Dharmesh Shah3
1Department of Computer Science and Engineering, Indrashil University, Mehsana, Gujarat, India.
Journal of education and health promotion
|November 29, 2023
概括
人工智能 (AI) 通过改善患者监测,诊断和管理任务来增强远程医疗. 医生指导的实施和适当的培训是克服挑战和最大限度地利用人工智能在远程医疗保健中的好处的关键.
科学领域:
- 数字健康数字健康
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
背景情况:
- 远程医疗利用技术进行远程医疗保健,由于COVID-19大流行病而经历了加速增长.
- 人工智能 (AI) 的整合为扩大跨各种医疗保健需求的远程医疗能力提供了巨大的潜力.
研究的目的:
- 研究基于人工智能的远程医疗在各种医疗领域的好处和局限性.
- 强调医生指导的实施的重要性,遵守临床实践,并为人工智能支持的远程医疗提供足够的培训.
主要方法:
- 审查人工智能在远程医疗中的应用,重点关注患者监测,医疗IT,智能诊断和协助.
- 分析人工智能在远程医疗中的实施挑战和促进因素,强调医生指导和技术因素.
主要成果:
- 人工智能可以帮助医生做出决策,改善医疗保健服务,并在远程医疗中自动化行政任务.
- 人工智能远程医疗的关键技术和科学因素包括可靠性,可重复性,可用性,可用性和成本.
结论:
- 医生指导的实施,遵守临床实践和全面的教育对于有效的人工智能支持远程医疗至关重要.
- 通过结构化的框架来应对挑战,可以确保人工智能在远程医疗保健服务中得到最佳的整合和利用.
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