利用商用云平台开发远程病人监护基础设施。

IF 3.2 Q1 HEALTH CARE SCIENCES & SERVICES Frontiers in digital health Pub Date : 2024-11-06 eCollection Date: 2024-01-01 DOI:10.3389/fdgth.2024.1399461
Minh Cao, Ramin Ramezani, Vivek Kumar Katakwar, Wenhao Zhang, Dheeraj Boda, Muneeb Wani, Arash Naeim
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引用次数: 0

摘要

用于对患者进行连续监测的可穿戴传感设备会产生大量数据,因此需要可扩展的基础设施来实现高效的数据处理、管理和安全,尤其是与患者健康信息(PHI)相关的数据。健康保险可携性和责任法案》(HIPAA)规定,开发商和医疗服务提供商必须遵守一套保护患者健康信息和隐私的标准。本文介绍了一种专为医疗保健行业设计的物联网(IoT)架构,利用微软 Azure 和亚马逊网络服务(AWS)等商业云平台开发符合 HIPAA 标准的健康监控系统。通过利用可扩展性、安全性和负载平衡等云功能,该架构简化了符合 HIPAA 标准的基础设施的创建过程。该研究包括 Azure 和 AWS 基础设施的成本分析,并评估了数据处理速度和数据库查询延迟,从而深入了解了它们在医疗保健应用方面的性能。
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Developing remote patient monitoring infrastructure using commercially available cloud platforms.

Wearable sensor devices for continuous patient monitoring produce a large volume of data, necessitating scalable infrastructures for efficient data processing, management and security, especially concerning Patient Health Information (PHI). Adherence to the Health Insurance Portability and Accountability Act (HIPAA), a legislation that mandates developers and healthcare providers to uphold a set of standards for safeguarding patients' health information and privacy, further complicates the development of remote patient monitoring within healthcare ecosystems. This paper presents an Internet of Things (IoT) architecture designed for the healthcare sector, utilizing commercial cloud platforms like Microsoft Azure and Amazon Web Services (AWS) to develop HIPAA-compliant health monitoring systems. By leveraging cloud functionalities such as scalability, security, and load balancing, the architecture simplifies the creation of infrastructures adhering to HIPAA standards. The study includes a cost analysis of Azure and AWS infrastructures and evaluates data processing speeds and database query latencies, offering insights into their performance for healthcare applications.

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来源期刊
CiteScore
4.20
自引率
0.00%
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0
审稿时长
13 weeks
期刊最新文献
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