Telemedicine, robots, big data, and blockchain technology are reshaping the future of healthcare delivery. It is because the distance system or mechanism introduces an approach for a remote-controlled targeted drug. The theme of this chapter focuses on the transformative capacity when remote robotics meets telemedicine platforms, with advance data analytics and decentralised technology. There is a comprehensive review of current telemedicine techniques such as real-time consultations, incorporation of wearables and AI-assisted diagnostics. It also looks into the increasing use of robots in surgical procedures, rehabilitation and care, especially in low-income and rural areas. The contribution of big data in enabling remote decision-making, predictive modelling and real-time analytics provides support for personalised treatment. At the same time, blockchain technologies are being investigated to determine whether they have the capability to protect the flow of health data, enforce smart contracts, and guarantee transparency in interactions between patients and healthcare providers. This chapter also addresses the new communication protocols and infrastructures that make it possible for tele-robotic operations to be carried out with low latency and high fidelity. Some examples of these are 5G, edge computing, and Internet of Things technologies. Data privacy, cybersecurity, informed consent, and human–robot interaction are some of the key ethical, legal, and social consequences that are discussed in this article. The purpose of case studies is to show real-world deployments of remote robotic healthcare, using insights gained from pandemic responses and rural outreach projects. Furthermore, the chapter makes predictions about prospects, including the use of quantum technologies in medical data security, digital twins, and autonomous care systems, among other prospective developments. A forward-looking view on how telemedicine and robotic health delivery, underpinned by big data and blockchain, can establish robust, decentralised, and intelligent eHealth ecosystems is provided in this chapter. This chapter does this by synthesising the most recent advancements across these multidisciplinary disciplines. Not only can this convergence broaden access to healthcare on a worldwide scale, but it also has the potential to improve the accuracy, efficiency, and safety of medical treatments in the digital era.

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Telemedicine and Remote Robotic Health Delivery

  • P. Dhivya,
  • Dabbula Sahithi,
  • Guntumadugu Venkata Sravan,
  • Vajrala Ruksana,
  • A. Amritha Krishnan,
  • Ashish Aggarwal

摘要

Telemedicine, robots, big data, and blockchain technology are reshaping the future of healthcare delivery. It is because the distance system or mechanism introduces an approach for a remote-controlled targeted drug. The theme of this chapter focuses on the transformative capacity when remote robotics meets telemedicine platforms, with advance data analytics and decentralised technology. There is a comprehensive review of current telemedicine techniques such as real-time consultations, incorporation of wearables and AI-assisted diagnostics. It also looks into the increasing use of robots in surgical procedures, rehabilitation and care, especially in low-income and rural areas. The contribution of big data in enabling remote decision-making, predictive modelling and real-time analytics provides support for personalised treatment. At the same time, blockchain technologies are being investigated to determine whether they have the capability to protect the flow of health data, enforce smart contracts, and guarantee transparency in interactions between patients and healthcare providers. This chapter also addresses the new communication protocols and infrastructures that make it possible for tele-robotic operations to be carried out with low latency and high fidelity. Some examples of these are 5G, edge computing, and Internet of Things technologies. Data privacy, cybersecurity, informed consent, and human–robot interaction are some of the key ethical, legal, and social consequences that are discussed in this article. The purpose of case studies is to show real-world deployments of remote robotic healthcare, using insights gained from pandemic responses and rural outreach projects. Furthermore, the chapter makes predictions about prospects, including the use of quantum technologies in medical data security, digital twins, and autonomous care systems, among other prospective developments. A forward-looking view on how telemedicine and robotic health delivery, underpinned by big data and blockchain, can establish robust, decentralised, and intelligent eHealth ecosystems is provided in this chapter. This chapter does this by synthesising the most recent advancements across these multidisciplinary disciplines. Not only can this convergence broaden access to healthcare on a worldwide scale, but it also has the potential to improve the accuracy, efficiency, and safety of medical treatments in the digital era.