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Chapter 12 Quantum-secured healthcare data and cybersecurity innovations in the era of Industry 5.0

  • Ravi Rastogi , Leena Arya und Yogesh Kumar Sharma
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Industrial Quantum Computing
Ein Kapitel aus dem Buch Industrial Quantum Computing

Abstract

With the combined emergence of Industry 5.0, where digital transformation remains inevitable in healthcare while improving patient quality care and efficiency levels in operational operations and overall system flexibility, advanced technologies with quantum computing must be integrated. This chapter reviews healthcare prospects, including obsolete infrastructure, disparate ecosystems, human mistakes, and data privacy issues. Then, it assesses the ability of Industry 5.0 technologies to strengthen healthcare resilience while pointing out the security risks of smart devices, AI, blockchain, and IoT applications operating on medical care efficacy. The chapter suggests a quantum-safe approach centering on cybersecurity-by-design, advanced threat detection, data governance, and joint efforts. To solve these issues, the chapter reviews cybersecurity innovations made specifically for Industry 5.0 technologies in healthcare, and overcoming its threats, so that healthcare institutions can build a more resilient and secure digital tomorrow for patients and providers.

Abstract

With the combined emergence of Industry 5.0, where digital transformation remains inevitable in healthcare while improving patient quality care and efficiency levels in operational operations and overall system flexibility, advanced technologies with quantum computing must be integrated. This chapter reviews healthcare prospects, including obsolete infrastructure, disparate ecosystems, human mistakes, and data privacy issues. Then, it assesses the ability of Industry 5.0 technologies to strengthen healthcare resilience while pointing out the security risks of smart devices, AI, blockchain, and IoT applications operating on medical care efficacy. The chapter suggests a quantum-safe approach centering on cybersecurity-by-design, advanced threat detection, data governance, and joint efforts. To solve these issues, the chapter reviews cybersecurity innovations made specifically for Industry 5.0 technologies in healthcare, and overcoming its threats, so that healthcare institutions can build a more resilient and secure digital tomorrow for patients and providers.

Kapitel in diesem Buch

  1. Frontmatter I
  2. Contents V
  3. List of contributors VII
  4. Chapter 1 Quantum computing in society: impacts and implications 1
  5. Chapter 2 Quantum computing with machine learning: opportunities and challenges 19
  6. Chapter 3 Quantum machine learning algorithms: a comprehensive review 37
  7. Chapter 4 Highlighting major issues with quantum computing in healthcare 53
  8. Chapter 5 Privacy and security for 6G’s IoT-connected future in the age of quantum computing 67
  9. Chapter 6 Can quantum computers revolutionize health systems? 87
  10. Chapter 7 Industrial automation and quantum computing 105
  11. Chapter 8 Applications of quantum computing in financial planning and financial control 127
  12. Chapter 9 Quantum computing in machine learning: an overview 141
  13. Chapter 10 The impact of AI and automation on income inequality in BRICS countries and the role of structural factors and women’s empowerment 155
  14. Chapter 11 Quantum computing and machine learning: a symbiotic relationship 177
  15. Chapter 12 Quantum-secured healthcare data and cybersecurity innovations in the era of Industry 5.0 199
  16. Chapter 13 Introduction to quantum computing and its revolution in industry and society 219
  17. Chapter 14 Advancing healthcare through the opportunities and challenges of quantum computing 239
  18. Chapter 15 Quantum computing in drug and chemical 255
  19. Index 279
https://doi.org/10.1515/9783111354842-012

Kapitel in diesem Buch

  1. Frontmatter I
  2. Contents V
  3. List of contributors VII
  4. Chapter 1 Quantum computing in society: impacts and implications 1
  5. Chapter 2 Quantum computing with machine learning: opportunities and challenges 19
  6. Chapter 3 Quantum machine learning algorithms: a comprehensive review 37
  7. Chapter 4 Highlighting major issues with quantum computing in healthcare 53
  8. Chapter 5 Privacy and security for 6G’s IoT-connected future in the age of quantum computing 67
  9. Chapter 6 Can quantum computers revolutionize health systems? 87
  10. Chapter 7 Industrial automation and quantum computing 105
  11. Chapter 8 Applications of quantum computing in financial planning and financial control 127
  12. Chapter 9 Quantum computing in machine learning: an overview 141
  13. Chapter 10 The impact of AI and automation on income inequality in BRICS countries and the role of structural factors and women’s empowerment 155
  14. Chapter 11 Quantum computing and machine learning: a symbiotic relationship 177
  15. Chapter 12 Quantum-secured healthcare data and cybersecurity innovations in the era of Industry 5.0 199
  16. Chapter 13 Introduction to quantum computing and its revolution in industry and society 219
  17. Chapter 14 Advancing healthcare through the opportunities and challenges of quantum computing 239
  18. Chapter 15 Quantum computing in drug and chemical 255
  19. Index 279
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Heruntergeladen am 3.1.2026 von https://www.degruyterbrill.com/document/doi/10.1515/9783111354842-012/html
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