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医疗管理系统新兴技术的最新进展：一项调查

Recent Advancements in Emerging Technologies for Healthcare Management Systems: A Survey.

作者信息

Junaid Sahalu Balarabe, Imam Abdullahi Abubakar, Balogun Abdullateef Oluwagbemiga, De Silva Liyanage Chandratilak, Surakat Yusuf Alhaji, Kumar Ganesh, Abdulkarim Muhammad, Shuaibu Aliyu Nuhu, Garba Aliyu, Sahalu Yusra, Mohammed Abdullahi, Mohammed Tanko Yahaya, Abdulkadir Bashir Abubakar, Abba Abdallah Alkali, Kakumi Nana Aliyu Iliyasu, Mahamad Saipunidzam

机构信息

Department of Computer Science, Ahmadu Bello University, Zaria 810211, Nigeria.

School of Digital Science, Universiti Brunei Darussalam, Brunei Darussalam, Jalan Tungku Link, Gadong BE1410, Brunei.

出版信息

Healthcare (Basel). 2022 Oct 3;10(10):1940. doi: 10.3390/healthcare10101940.

DOI:10.3390/healthcare10101940
PMID:36292387
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9601636/
Abstract

In recent times, the growth of the Internet of Things (IoT), artificial intelligence (AI), and Blockchain technologies have quickly gained pace as a new study niche in numerous collegiate and industrial sectors, notably in the healthcare sector. Recent advancements in healthcare delivery have given many patients access to advanced personalized healthcare, which has improved their well-being. The subsequent phase in healthcare is to seamlessly consolidate these emerging technologies such as IoT-assisted wearable sensor devices, AI, and Blockchain collectively. Surprisingly, owing to the rapid use of smart wearable sensors, IoT and AI-enabled technology are shifting healthcare from a conventional hub-based system to a more personalized healthcare management system (HMS). However, implementing smart sensors, advanced IoT, AI, and Blockchain technologies synchronously in HMS remains a significant challenge. Prominent and reoccurring issues such as scarcity of cost-effective and accurate smart medical sensors, unstandardized IoT system architectures, heterogeneity of connected wearable devices, the multidimensionality of data generated, and high demand for interoperability are vivid problems affecting the advancement of HMS. Hence, this survey paper presents a detailed evaluation of the application of these emerging technologies (Smart Sensor, IoT, AI, Blockchain) in HMS to better understand the progress thus far. Specifically, current studies and findings on the deployment of these emerging technologies in healthcare are investigated, as well as key enabling factors, noteworthy use cases, and successful deployments. This survey also examined essential issues that are frequently encountered by IoT-assisted wearable sensor systems, AI, and Blockchain, as well as the critical concerns that must be addressed to enhance the application of these emerging technologies in the HMS.

摘要

近年来，物联网（IoT）、人工智能（AI）和区块链技术的发展迅速成为众多高校和工业领域，尤其是医疗保健领域的一个新的研究热点。医疗保健服务的最新进展使许多患者能够获得先进的个性化医疗服务，从而改善了他们的健康状况。医疗保健的下一阶段是将物联网辅助可穿戴传感器设备、人工智能和区块链等这些新兴技术无缝整合在一起。令人惊讶的是，由于智能可穿戴传感器的迅速应用，物联网和人工智能技术正在将医疗保健从传统的基于中心的系统转变为更加个性化的医疗保健管理系统（HMS）。然而，在医疗保健管理系统中同步实施智能传感器、先进的物联网、人工智能和区块链技术仍然是一项重大挑战。突出且反复出现的问题，如缺乏经济高效且准确的智能医疗传感器、物联网系统架构不规范、连接的可穿戴设备的异构性、所产生数据的多维度性以及对互操作性的高要求，都是影响医疗保健管理系统发展的明显问题。因此，本综述论文对这些新兴技术（智能传感器、物联网、人工智能、区块链）在医疗保健管理系统中的应用进行了详细评估，以便更好地了解到目前为止的进展情况。具体而言，研究了这些新兴技术在医疗保健领域部署的当前研究和发现，以及关键推动因素、值得注意的用例和成功部署案例。本综述还审视了物联网辅助可穿戴传感器系统、人工智能和区块链经常遇到的基本问题，以及为加强这些新兴技术在医疗保健管理系统中的应用而必须解决的关键问题。

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