Managing and Monitoring Patient's Healthcare Using AI and IoT Technologies

Author:

Bhambri Pankaj1ORCID,Khang Alex2ORCID

Affiliation:

1. Guru Nanak Dev Engineering College, Ludhiana, India

2. Global Research Institute of Technology and Engineering, USA

Abstract

This book chapter explores the transformative integration of AI and IoT technologies in the realm of healthcare, focusing on their collective impact on patient monitoring. The chapter delves into the emerging trends and challenges associated with the utilization of AI and IoT in the digital healthcare landscape, emphasizing their role in real-time patient monitoring, data analytics, and personalized healthcare solutions. Through an examination of case studies and current applications, the chapter highlights the potential of these technologies to revolutionize patient care by enabling continuous and remote monitoring, early detection of health issues, and data-driven decision-making for healthcare professionals. Furthermore, the chapter addresses the ethical considerations and challenges that accompany the implementation of AI and IoT in healthcare settings. Overall, the chapter provides a comprehensive overview of the innovative ways AI and IoT technologies are reshaping patient monitoring practices, offering insights into the future of digital healthcare.

Publisher

IGI Global

Reference59 articles.

1. Pervasive Health Care: Paving the Way to a Web of People Framework.;P. H.Abreu;Procedia Technology,2022

2. A Review of Internet of Things Technologies for Ambient Assisted Living Environments.;F.Alshammari;Procedia Computer Science,2019

3. Artificial Intelligence (AI) Models for Disease Diagnosis and Prediction of Heart Disease with Artificial Neural Networks (ANN)

4. A Semantic Health Observation System Development Based on the IoT Sensors.;G. C. N.Babu;Turkish Journal of Physiotherapy and Rehabilitation,2021

5. A Review Paper on Wireless Sensor Network Techniques in Internet of Things (IoT).;P.Bakshi;Wesleyan Journal of Research,2021

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3