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Enabling Technologies for Fog Computing in Healthcare 4.0: Challenges and Future Implications

  • R. Hanumantharaju
  • D. Pradeep Kumar
  • B. J. SowmyaEmail author
  • G. M. Siddesh
  • K. N. Shreenath
  • K. G. Srinivasa
Chapter
  • 16 Downloads
Part of the Signals and Communication Technology book series (SCT)

Abstract

Fog computing is an architecture that uses edge devices to perform computation, storage, and communication locally and globally through routing over the internet. Healthcare industry has grown up from 1.0 to 4.0 generation. Healthcare 3.0 was a hospital centric, where long-lasting disease patients endured a great deal for their regular check-ups due to several visits to hospitals. To overcome some of the drawbacks of healthcare 3.0, we are discussing the healthcare 4.0 and its several challenges and future implications. The healthcare 4.0 track will be focusing on topics such as the use of technology and systems to improve patient safety, health outcomes, and the patient experience.

Fog computing offers few major benefits in comparison to the cloud computing approaches such as low latency, privacy, and resiliency against cloud inevitability. Fog computing adds an additional layer of computing power between the device and the cloud, keeping critical analytics closer to the device, thus reducing the amount of time it takes from request to reply. The aim of role of the Internet of Things in the field of healthcare is to make it easier for patients to stay connected to their providers and for their providers to provide their communities with transparent, value-based care. Fog computing can be the basic infrastructure for turning IoT from innovation to practice in healthcare. In this chapter, we are addressing the challenges of healthcare 4.0. The challenges are regarding the data (data collection and analysis), security and privacy and e-healthcare services and also we will discuss how the taxonomy of fog computing can be a better solution to healthcare 4.0.

Keywords

Healthcare 4.0 Fog computing Internet of Things Health information management 

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Copyright information

© Springer Nature Switzerland AG 2021

Authors and Affiliations

  • R. Hanumantharaju
    • 1
  • D. Pradeep Kumar
    • 1
  • B. J. Sowmya
    • 1
    Email author
  • G. M. Siddesh
    • 2
  • K. N. Shreenath
    • 3
  • K. G. Srinivasa
    • 4
  1. 1.Department of Computer Science and EngineeringRamaiah Institute of TechnologyBangaloreIndia
  2. 2.Department of Information Science and EngineeringRamaiah Institute of TechnologyBangaloreIndia
  3. 3.Department of Computer Science and EngineeringSiddaganga Institute of TechnologyTumkurIndia
  4. 4.National Institute of Technical Teachers TrainingChandigarhIndia

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