Fog Computing and Blockchain-Based IoMT for Personalized Healthcare

Fog Computing and Blockchain-Based IoMT for Personalized Healthcare

Jay Prakash Maurya, Manoj Kumar, Vinesh Kumar
Copyright: © 2024 |Pages: 17
DOI: 10.4018/979-8-3693-2081-5.ch009
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Abstract

The Covid-19 pandemic has accelerated the rise of medical devices and applications, collecting, monitoring, and analyzing valuable healthcare data. The internet of medical things (IoMT) has been used to improve the accuracy, dependability, and efficiency of electronic instruments in healthcare. IoMT can connect real-world objects for information sharing and communication. However, challenges in IoT equipment communication, security, and framework development remain. FOG computing and blockchain technologies can support better-personalized systems, but they also present challenges in developing cost-effective and enhanced treatment quality. The healthcare industry must continue to improve the accuracy, reliability, and efficiency of electronic instruments to ensure patient care during the pandemic.
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1. Introduction

The medical sector has Internet of Things (IoT) technology, which offers creative options for individual treatment. Healthcare practitioners can now track patients' medical histories, diagnose and treat illnesses, and monitor their health in real time thanks to IoT-based medical devices. Many different medical applications, including telemedicine, remote patient monitoring (Kadhim et al., 2020), medical imaging, and preventative healthcare, utilize IoT-based medical devices (Dwivedi et al., 2021). These technologies are enabling healthcare professionals to give their patients more personalized and precise care (Alam et al., 2022). IoT-based medical devices offer a safe, dependable, and efficient way to manage patient data, enabling healthcare professionals to analyze and interpret information more precisely. These innovations can also save operating expenses, boost patient outcomes, and raise the standard of care. We may anticipate more cutting-edge approaches for personalized healthcare in the future to IoT-based medical devices. Personalized healthcare and better patient outcomes are now possible due to recent advancements in IoT-based medical equipment. For instance, networked medical equipment can support patient health monitoring and offer real-time information on vital signs like blood pressure, heart rate, and temperature. Then, this information can be utilized to identify illnesses and offer personalized therapies.

Additionally, wearable technology like smartwatches and fitness trackers can be used to measure a patient's physical activity and can share individual feedback. With the use of this information, patients can be suggested for individual diet and activity that will keep them healthy and active. Last but not least, connected medical devices can provide remote patient monitoring, enabling medical professionals to monitor a patient's health from a distance and take action as needed. For old people or elderly people with chronic illnesses who may not be able to frequently visit a doctor's office, this can be extremely helpful. In general, IoT-based medical gadgets share healthcare diagnosis data and deliver more effective, care to patients (Pradhan et al., 2021). There are a few examples that are closely related to IoMT (Internet of Medical Things).

  • 1.

    Wearable Sensors: Vital indicators like heart rate, blood pressure, and temperature are tracked via wearable sensors. They can also be used to gauge stress levels, exercise levels, and other aspects of health.

  • 2.

    Smartphones and Smart Watches: Steps done, calories burned, and other fitness indicators can be tracked and monitored using smartphones and smartwatches.

  • 3.

    Smart Pill Boxes: To help people remember to take their drugs on time and in the right dosage, smart pill boxes are used. They can be linked to an application that enables users to schedule reminders and get alerts when it's time to take their prescription.

  • 4.

    Smart Scales: Smart scales are used to assess changes in body weight and composition and to measure body composition.

  • 5.

    Smart Blood Pressure Cuffs: Real-time measurements and monitoring of blood pressure are done with the aid of smart blood pressure cuffs. They can be used to monitor blood pressure trends over time and notify consumers of any changes.

  • 6.

    Smart Inhalers: Smart inhalers are used to monitor the usage of inhalers and to provide feedback on how well the user is using them.

  • 7.

    Smart Contact Lenses: Smart contact lenses are used to monitor glucose levels in the body and alert the user to any changes.

  • 8.

    Smart Thermometers: Smart thermometers are used to measure body temperature and alert the user to any changes.

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