Advances and Challenges in IoT-Based Smart Drug Delivery Systems: A Comprehensive Review

Author:

Raikar Amisha S.1,Kumar Pramod2ORCID,Raikar Gokuldas (Vedant) S.3,Somnache Sandesh N.1

Affiliation:

1. Department of Pharmaceutics, PES Rajaram and Tarabai Bandekar College of Pharmacy, Ponda 403401, India

2. Department of Electronics & Communication Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal 576104, India

3. Department of Computer Science, Manipal Institute of Technology, Manipal Academy of Higher Education, Bengaluru 560064, India

Abstract

In the current era of technology, the internet of things (IoT) plays a vital role in smart drug delivery systems. It is an emerging field that offers promising solutions for improving the efficacy, safety, and patient compliance of drug therapies. IoT-based drug delivery systems leverage advanced devices, sophisticated sensors, and smart tools to monitor and analyse the health matrices of the patient in real-time, allowing for personalised and targeted drug delivery. This technology is implemented through various types of devices, including wearable and implantable devices such as infusion pumps, smart pens, inhalers, and auto-injectors. However, the development and implementation of IoT-based drug delivery systems pose several challenges, such as ensuring data security and privacy, regulatory compliance, compatibility, and reliability. In this paper, the latest research on smart wearable devices and its analysis are addressed. It also focuses on the challenges of ensuring the safe and efficient use of this technology in healthcare applications.

Publisher

MDPI AG

Subject

Artificial Intelligence,Applied Mathematics,Industrial and Manufacturing Engineering,Human-Computer Interaction,Information Systems,Control and Systems Engineering

Reference81 articles.

1. Hacker, M., Messer, W., and Bachmann, K. (2009). Pharmacology, Academic Press.

2. Conventional and molecular methods in diagnosis and monitoring of viral infection;Srp. Arh. Celok. Lek.,2007

3. The Smart Drug Delivery System and Its Clinical Potential;Liu;Theranostics,2016

4. Medical devices, smart drug delivery, wearables and technology for the treatment of Diabetes Mellitus;Lattanzi;Adv. Drug Deliv. Rev.,2022

5. Intelligent healthcare service by using collaborations between iot personal health devices;Mun;Int. J. Bio-Sci. Bio-Technol.,2014

Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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