雾计算在医疗保健中的应用
Naveen Jeyaraman1, Madhan Jeyaraman2,1, Sankalp Yadav3
1Orthopaedics, ACS Medical College and Hospital, Dr. MGR Educational and Research Institute, Chennai, IND.
Cureus
|August 12, 2024
概括
雾计算是一种分散的方法,通过实时数据分析进行诊断和患者监测来增强医疗保健. 解决互操作性,可扩展性和安全性方面的挑战是充分发挥其潜力的关键.
科学领域:
- 计算机科学 计算机科学
- 医疗信息学 医疗信息学
- 分布式系统 分布式系统
背景情况:
- 雾计算提供了靠近源头的分散数据处理,减少了延迟和带宽需求.
- 它在医疗保健中的应用越来越多,用于实时数据处理和在关键情况下改进决策.
研究的目的:
- 系统地审查有关医疗保健中的雾计算应用的文献.
- 确定雾计算在医学领域的关键应用,好处和挑战.
主要方法:
- 使用PubMed,IEEE Xplore,Scopus和谷歌学者进行了系统的文献审查.
- 搜索包括"医疗保健中的雾计算"和"实时诊断雾计算"等术语,用于2010-2023年发表的文章.
- 纳入标准集中在关于医疗保健应用的同行评审文章上;排除标准删除了非英语或非经验研究.
主要成果:
- 雾计算通过本地处理数据来增强实时诊断 (例如,中风检测) 和手术监测.
- 它通过可穿戴设备的持续监控来改善慢性疾病的管理,并支持远程医疗远程护理.
- 确定的主要挑战包括医疗保健雾计算系统中的互操作性,可扩展性和安全问题.
结论:
- 雾计算具有显著的潜力,通过提高诊断准确性,患者监测和个性化治疗来改变医疗保健.
- 克服互操作性,可扩展性和安全性的挑战对于广泛采用和实现连接的医疗保健生态系统至关重要.
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