Internet of Medical Things – The Future of Healthcare

Author:

Wal Pranay,Wal Ankita,Verma Neha,Karunakakaran Rohini,Kapoor Anupriya

Abstract

Background: The Internet of Medical Things (IoMT) is now being connected to medical equipment to make patients more comfortable, offer better and more affordable health care options, and make it easier for people to get good care in the comfort of their own homes. Objective: The primary purpose of this study is to highlight the architecture and use of IoMT (Internet of Medical Things) technology in the healthcare system. Methods: Several sources were used to acquire the material, including review articles published in various journals that had keywords such as, Internet of Medical Things, Wireless Fidelity, Remote Healthcare Monitoring (RHM), Point-of-care testing (POCT), and Sensors. Results: IoMT has succeeded in lowering both the cost of digital healthcare systems and the amount of energy they use. Sensors are used to measure a wide range of things, from physiological to emotional responses. They can be used to predict illness before it happens. Conclusion: The term “Internet of Medical Things” refers to the broad adoption of healthcare solutions that may be provided in the home. Making such systems intelligent and efficient for timely prediction of important illnesses has the potential to save millions of lives while decreasing the burden on conventional healthcare institutions, such as hospitals. patients and physicians may now access real-time data due to advancements in IoM.

Publisher

Bentham Science Publishers Ltd.

Subject

Public Health, Environmental and Occupational Health,Community and Home Care,Health (social science)

Cited by 3 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

1. Navigating the Future of Healthcare;Advances in Healthcare Information Systems and Administration;2024-05-17

2. Insights into Internet of Medical Things (IoMT): Data fusion, security issues and potential solutions;Information Fusion;2024-02

3. IoMT-based Automated Leukemia Classification using CNN and Higher Order Singular Value Decomposition;2023 9th International Conference on Web Research (ICWR);2023-05-03

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