Challenges Facing the Application of IoT in Medicine and Healthcare

Muhammad Adnan Khan
{"title":"Challenges Facing the Application of IoT in Medicine and Healthcare","authors":"Muhammad Adnan Khan","doi":"10.54489/ijcim.v1i1.32","DOIUrl":null,"url":null,"abstract":"Among all the functions of the Internet of Things, healthcare applications are the most important. The internet of Things has played a vital role in the sharing of various medical resources making it an essential factor in the field of medicine. Without the applications, it may become challenging for the medical practice to achieve some objectives. Today, information is shared freely across different networks, making it easy for practitioners and institutions to work with the available resources and deliver on the medical needs of the society. IoT has made it possible to offer smart and effective healthcare services to people. The application of smart sensors is one of the factors that has contributed to effective management of healthcare needs in the society. Wearable devices can be used to track different issues within the body. Some can be embedded to monitor different functions of the body to ensure there is effectiveness in the way medical services are delivered to such patients. The information collected in such manner, can be analyzed, aggregated and mined to do the early prediction of diseases. Processing algorithms play a vital role in helping practitioners in developing personalized treatment, which makes healthcare more economical. Apart from analyzing the effectiveness of IoT in healthcare, challenges will be discussed in this study and how they impact medicine.","PeriodicalId":104992,"journal":{"name":"International Journal of Computations, Information and Manufacturing (IJCIM)","volume":"243 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"29","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Computations, Information and Manufacturing (IJCIM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.54489/ijcim.v1i1.32","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 29

Abstract

Among all the functions of the Internet of Things, healthcare applications are the most important. The internet of Things has played a vital role in the sharing of various medical resources making it an essential factor in the field of medicine. Without the applications, it may become challenging for the medical practice to achieve some objectives. Today, information is shared freely across different networks, making it easy for practitioners and institutions to work with the available resources and deliver on the medical needs of the society. IoT has made it possible to offer smart and effective healthcare services to people. The application of smart sensors is one of the factors that has contributed to effective management of healthcare needs in the society. Wearable devices can be used to track different issues within the body. Some can be embedded to monitor different functions of the body to ensure there is effectiveness in the way medical services are delivered to such patients. The information collected in such manner, can be analyzed, aggregated and mined to do the early prediction of diseases. Processing algorithms play a vital role in helping practitioners in developing personalized treatment, which makes healthcare more economical. Apart from analyzing the effectiveness of IoT in healthcare, challenges will be discussed in this study and how they impact medicine.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
物联网在医疗保健领域应用面临的挑战
在物联网的所有功能中,医疗保健应用是最重要的。物联网在各种医疗资源的共享中发挥了至关重要的作用,使其成为医学领域不可或缺的因素。如果没有这些应用程序,可能会成为医疗实践实现某些目标的挑战。今天,信息在不同的网络上自由共享,使从业人员和机构能够轻松地利用现有资源,满足社会的医疗需求。物联网使向人们提供智能有效的医疗保健服务成为可能。智能传感器的应用是促进有效管理社会医疗保健需求的因素之一。可穿戴设备可用于跟踪体内的不同问题。其中一些可以被植入,以监测身体的不同功能,以确保向此类患者提供医疗服务的方式有效。通过这种方式收集到的信息可以进行分析、汇总和挖掘,从而对疾病进行早期预测。处理算法在帮助从业者开发个性化治疗方面发挥着至关重要的作用,从而使医疗保健更加经济。除了分析物联网在医疗保健中的有效性外,本研究还将讨论挑战以及它们如何影响医学。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Big Data Analytics in Healthcare: Exploring the Role of Machine Learning in Predicting Patient Outcomes and Improving Healthcare Delivery Technology Acceptance Model and Attitude of Consumers towards Online Shopping with Special Reference to UAE Impact of Big Data on Supply Chain Performance through Demand Forecasting Impact of Information Security on Online Operations: The Mediating Role of Risk Management Improving Heart Disease Prediction Accuracy Using a Hybrid Machine Learning Approach: A Comparative study of SVM and KNN Algorithms
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1