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Chapter 2 Introduction to industry’s fourth revolution and its impacts on healthcare

  • Muhammad Muzamil Aslam , Rufai Yusuf Zakari , Ali Tufail , Sajid Ali , Kassim Kalinaki und Wasswa Shafik
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Digital Transformation in Healthcare 5.0
Ein Kapitel aus dem Buch Digital Transformation in Healthcare 5.0

Abstract

Consider elderly physicians adapting to advanced digital healthcare facilities, a scenario that may initially perplex these seasoned doctors. The Fourth Industrial Revolution (4IR) stands at the forefront of technological progress, ushering in a new era of professional dynamics that blurs the boundary between the physical and digital realms. Its pervasive influence extends across academia, business, government, and the private sector, spanning diverse industries where Information Technology (IT) and Operational Technology (OT) converge. As we navigate this unfolding era, 4IR assumes a pivotal role in bridging the chasm between the digital, biological, and physical domains, particularly revolutionizing healthcare. Within the realm of 4IR, the healthcare sector undergoes a profound transformation, with the imperative to process vast datasets to train Artificial Intelligence (AI) and ML models and algorithms. This advanced level of diagnostic prowess greatly diminishes the possibility of medical errors. The implementation of 4IR in healthcare yields substantial benefits, rivaling the significance of traditional medical transformations. Moreover, concerns regarding data security and clinical integrity remain unfounded within the 4IR paradigm. While it may read like science fiction, the amalgamation of technology and the convergence of IT and OT are manifesting this transition. The healthcare domain is transitioning from paper-based records to electronic health records (EHR), empowering physicians with seamless access to patient histories. Electronic prescriptions and information sharing have become standard practice, reflecting the remarkable transformation. In this chapter, we provide an overview of the 4IR and its profound impact on human life and challenges it presents, and the promising future prospects.

Abstract

Consider elderly physicians adapting to advanced digital healthcare facilities, a scenario that may initially perplex these seasoned doctors. The Fourth Industrial Revolution (4IR) stands at the forefront of technological progress, ushering in a new era of professional dynamics that blurs the boundary between the physical and digital realms. Its pervasive influence extends across academia, business, government, and the private sector, spanning diverse industries where Information Technology (IT) and Operational Technology (OT) converge. As we navigate this unfolding era, 4IR assumes a pivotal role in bridging the chasm between the digital, biological, and physical domains, particularly revolutionizing healthcare. Within the realm of 4IR, the healthcare sector undergoes a profound transformation, with the imperative to process vast datasets to train Artificial Intelligence (AI) and ML models and algorithms. This advanced level of diagnostic prowess greatly diminishes the possibility of medical errors. The implementation of 4IR in healthcare yields substantial benefits, rivaling the significance of traditional medical transformations. Moreover, concerns regarding data security and clinical integrity remain unfounded within the 4IR paradigm. While it may read like science fiction, the amalgamation of technology and the convergence of IT and OT are manifesting this transition. The healthcare domain is transitioning from paper-based records to electronic health records (EHR), empowering physicians with seamless access to patient histories. Electronic prescriptions and information sharing have become standard practice, reflecting the remarkable transformation. In this chapter, we provide an overview of the 4IR and its profound impact on human life and challenges it presents, and the promising future prospects.

Kapitel in diesem Buch

  1. Frontmatter I
  2. About the book V
  3. Preface VII
  4. Foreword IX
  5. Contents XI
  6. List of contributors XIII
  7. Chapter 1 The Fourth Industrial Revolution: A paradigm shift in healthcare delivery and management 1
  8. Chapter 2 Introduction to industry’s fourth revolution and its impacts on healthcare 33
  9. Chapter 3 The Fourth Industrial Revolution: A paradigm shift in healthcare delivery and management 67
  10. Chapter 4 E-health services and applications: A technological paradigm shift 101
  11. Chapter 5 Breaking down walls: The influence of virtual reality on accessible healthcare delivery 129
  12. Chapter 6 Digital twins and dietary health technologies: Applying the capability approach 165
  13. Chapter 7 Big Data analytics in healthcare system: A systematic review approach 185
  14. Chapter 8 Machine learning models for cost-effective healthcare delivery systems: A global perspective 199
  15. Chapter 9 Machine learning models for cost-effective healthcare delivery systems 245
  16. Chapter 10 Enhancing biomedical signal processing with machine learning: A comprehensive review 277
  17. Chapter 11 Data-driven AI for information retrieval of biomedical images 307
  18. Index 331
https://doi.org/10.1515/9783111327853-002

Kapitel in diesem Buch

  1. Frontmatter I
  2. About the book V
  3. Preface VII
  4. Foreword IX
  5. Contents XI
  6. List of contributors XIII
  7. Chapter 1 The Fourth Industrial Revolution: A paradigm shift in healthcare delivery and management 1
  8. Chapter 2 Introduction to industry’s fourth revolution and its impacts on healthcare 33
  9. Chapter 3 The Fourth Industrial Revolution: A paradigm shift in healthcare delivery and management 67
  10. Chapter 4 E-health services and applications: A technological paradigm shift 101
  11. Chapter 5 Breaking down walls: The influence of virtual reality on accessible healthcare delivery 129
  12. Chapter 6 Digital twins and dietary health technologies: Applying the capability approach 165
  13. Chapter 7 Big Data analytics in healthcare system: A systematic review approach 185
  14. Chapter 8 Machine learning models for cost-effective healthcare delivery systems: A global perspective 199
  15. Chapter 9 Machine learning models for cost-effective healthcare delivery systems 245
  16. Chapter 10 Enhancing biomedical signal processing with machine learning: A comprehensive review 277
  17. Chapter 11 Data-driven AI for information retrieval of biomedical images 307
  18. Index 331
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Heruntergeladen am 20.10.2025 von https://www.degruyterbrill.com/document/doi/10.1515/9783111327853-002/html?lang=de
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