Skip to main content

AI Model for Blockchain Based Industrial Application in Healthcare IoT

  • Chapter
  • First Online:
AI Models for Blockchain-Based Intelligent Networks in IoT Systems

Part of the book series: Engineering Cyber-Physical Systems and Critical Infrastructures ((ECPSCI,volume 6))

Abstract

Artificial intelligence is one of the prominent areas that automates the functional system to reduce human efforts and cost incurs by healthcare industries. Blockchain, the Internet of Things, and Artificial Intelligence can be combined to model an emerging application for the healthcare industry. This chapter will address a secured industrial application of IoT that is based on artificial intelligence and blockchain to automate patient service in the healthcare industry. The application processes all the conditions of patients and automatically sends the patient health information to the healthcare professional in the healthcare industry. We are using the body area network with IoT devices to get the patient information and an AI-based designed algorithm processes the real-time status of health on different parameters and creates the block to add to the blockchain. The healthcare professional of the healthcare industry is notified by the entry of a block in the blockchain and access to the patient health status to provide the monitoring activity remotely. This model application is so scalable that it can run over different types of platforms and hardware. The automation with the help of an AI algorithm eliminates the delay between the healthcare professional of the healthcare industry and the patient. Blockchain technology is immutable and temper proof so that the application working environment for the healthcare system would be robust and secure. Healthcare IoT for healthcare industries acts smartly by AI algorithms under the secured environment of blockchain. AI and blockchain create a smart interface between the patient and healthcare system where IoT enables regular monitoring and data sharing to the gateway from where the patient information is accessed and processed with accurate recommendations.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Bhushan B, Sahoo C, Sinha P, Khamparia A (2020) Unification of Blockchain and Internet of Things (BIoT): requirements, working model, challenges and future directions. Wirel Netw. https://doi.org/10.1007/s11276-020-02445-6

    Article  Google Scholar 

  2. Kohli R (2016) Electronic health records: how can IS researchers contribute to transforming healthcare? MIS Q 40(3):553–573. https://doi.org/10.25300/MISQ/2016/40.3.02

  3. Rabah K (2018) Convergence of AI, IoT, big data and blockchain: a review. Lake Inst J 1(1):1–18

    Google Scholar 

  4. Khan MA, Salah K (2018) IoT security: review, blockchain solutions, and open challenges. Future Generat Comput Syst 82:395–411. https://doi.org/10.1016/j.future.2017.11.022

    Article  Google Scholar 

  5. Saxena S, Bhushan B, Ahad MA (2021) Blockchain based solutions to secure Iot: background, integration trends and a way forward. J Netw Comput Appl 103050. https://doi.org/10.1016/j.jnca.2021.103050

  6. Vyas S, Shabaz M, Pandit P, Rama Parvathy L, Ofori I (2022) Integration of artificial intelligence and blockchain technology in healthcare and agriculture. J Food Qual, Article ID 4228448, 11 pp. https://doi.org/10.1155/2022/4228448

  7. Bhushan B, Sinha P, Sagayam KM, Andrew J (2021) Untangling blockchain technology: a survey on state of the art, security threats, privacy services, applications and future research directions. Comput Electr Eng 90:106897. https://doi.org/10.1016/j.compeleceng.2020.106897

  8. Edeh MO, Dalal S, Obagbuwa IC, Prasad BS, Ninoria SZ, Wajid MA, Adesina AO (2022) Bootstrapping random forest and CHAID for prediction of white spot disease among shrimp farmers. Sci Rep 12(1):20876

    Article  Google Scholar 

  9. Ghouali S, Onyema EM, Guellil MS, Wajid MA, Clare O, Cherifi W, Feham M (2022) Artificial intelligence-based teleopthalmology application for diagnosis of diabetics retinopathy. IEEE Open J Eng Med Biol 3:124–133

    Article  Google Scholar 

  10. Sethi R, Bhushan B, Sharma N, Kumar R, Kaushik I (2020) Applicability of industrial IoT in diversified sectors: evolution, applications and challenges. Studies in big data multimedia technologies in the internet of things environment, pp 45–67. https://doi.org/10.1007/978-981-15-7965-3_4

  11. de Souza F, Rêgo L (2017) Life expectancy and healthy life expectancy changes between 2000 and 2015: an analysis of 183 World Health Organization member states. J Public Health 26(3):261–269

    Article  Google Scholar 

  12. Liu C, Jiao D, Liu Z (2020) Artificial intelligence (AI)-aided disease prediction. BIO Integr 1(3):130–136

    Article  MathSciNet  Google Scholar 

  13. Curtis C, Gillespie N, Lockey S (2022) AI-deploying organizations are key to addressing ‘perfect storm’ of AI risks. AI Ethics. https://doi.org/10.1007/s43681-022-00163-7

  14. Ball H (2021) Improving healthcare cost, quality, and access through artificial intelligence and machine learning applications. J Healthc Manag 66(4):271–279. https://doi.org/10.1097/jhm-d-21-00149

  15. Bickman L (2020) Improving mental health services: a 50-year journey from randomized experiments to artificial intelligence and precision mental health. Adm Policy Ment Health Ment Health Serv Res 47(5):795–843. https://doi.org/10.1007/s10488-020-01065-8

  16. Lal A, Pinevich Y, Gajic O, Herasevich V, Pickering B (2020) Artificial intelligence and computer simulation models in critical illness. World J Crit Care Med 9(2):13–19

    Google Scholar 

  17. Huang B, Philp M (2020) When AI-based services fail: examining the effect of the self-AI connection on willingness to share negative word-of-mouth after service failures. Serv Ind J 41(13–14):877–899. https://doi.org/10.1080/02642069.2020.1748014.

  18. Flavián C, Casaló L (2021) Artificial intelligence in services: current trends, benefits and challenges. Serv Ind J 41(13–14):853–859. https://doi.org/10.1080/02642069.2021.1989177

  19. Malik A, Gautam S, Abidin S, Bhushan B (2019) Blockchain technology-future of IoT: including structure, limitations and various possible attacks. In: 2019 2nd International conference on intelligent computing, instrumentation and control technologies (ICICICT). https://doi.org/10.1109/icicict46008.2019.8993144

  20. Kaur M, Gupta S (2021) Blockchain technology for convergence: an overview, applications, and challenges. https://doi.org/10.4018/978-1-7998-6694-7.ch001

  21. Glaser F (2017) Pervasive decentralization of digital infrastructures: a framework for blockchain enabled system and use case analysis. In: Conference on system sciences HICSS, Waikoloa, Hawaii, USA, pp 1–14. https://doi.org/10.24251/HICSS.2017.186

  22. Islam SR, Kwak D, Kabir MH, Hossain M, Kwak KS (2015) The internet of things for health care: a comprehensive survey. IEEE Access 3:678–708

    Article  Google Scholar 

  23. Bahalul Haque AKM, Bhushan B, Nawar A, Talha KR, Ayesha SJ (2022) Attacks and countermeasures in IoT based smart healthcare applications. In: Balas VE, Solanki VK, Kumar R (eds) Recent advances in internet of things and machine learning. Intelligent systems reference library, vol 215. Springer, Cham. https://doi.org/10.1007/978-3-030-90119-6_6

  24. Onyema EM, Dalal S, Romero CAT, Seth B, Young P, Wajid MA (2022) Design of intrusion detection system based on cyborg intelligence for security of cloud network traffic of smart cities. J Cloud Comput 11(1):1–20

    Article  Google Scholar 

  25. Pareta D, Verma IN, Lohani BP, Kushwaha PK, Bibhu V (2022) In: 2022 2nd International conference on innovative practices in technology and management (ICIPTM). IEEE, pp 369–373

    Google Scholar 

  26. Zafar A, Wajid MA (2020) A mathematical model to analyze the role of uncertain and indeterminate factors in the spread of pandemics like COVID-19 using neutrosophy: a case study of India, vol 38. Infinite Study

    Google Scholar 

  27. Akhtar SM, Nazir M, Saleem K, Haque HMU, Hussain I (2020) An ontology-driven IoT based healthcare formalism. Int J Adv Comput Sci Appl 11(2):479–486

    Google Scholar 

  28. Ali Z, Hossain MS, Muhammad G, Sangaiah AK (2018) An intelligent healthcare system for detection and classification to discriminate vocal fold disorders. Future Gener Comput Syst 85:19–28

    Article  Google Scholar 

  29. Dash SP (2020) The impact of IoT in healthcare: global technological change & the roadmap to a networked architecture in India. J Indian Inst Sci 100:773–785. https://doi.org/10.1007/s41745-020-00208-y

    Article  Google Scholar 

  30. Chamola V, Goyal A, Sharma P et al (2022) Artificial intelligence-assisted blockchain-based framework for smart and secure EMR management. Neural Comput Appl. https://doi.org/10.1007/s00521-022-07087-7

    Article  Google Scholar 

  31. Sun J, Yao X, Wang S, Wu Y (2020) Blockchain-based secure storage and access scheme for electronic medical records in IPFS. IEEE Access 8:59389–59401

    Article  Google Scholar 

  32. Lauritsen SM, Kristensen M, Olsen MV et al (2020) Explainable artificial intelligence model to predict acute critical illness from electronic health records. Nat Commun 11

    Google Scholar 

  33. Jabbar R, Fetais N, Krichen M, Barkaroui K (2020) Blockchain technology for healthcare: enhancing shared electronic health record interoperability and integrity. In: Proceedings of the 2020 IEEE international conference on informatics, IoT, and enabling technologies (ICIoT), Doha, Qatar, February 2020

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Vimal Bibhu .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Bibhu, V., Das, L., Rana, A., Sharma, S., Salagrama, S. (2023). AI Model for Blockchain Based Industrial Application in Healthcare IoT. In: Bhushan, B., Sangaiah, A.K., Nguyen, T.N. (eds) AI Models for Blockchain-Based Intelligent Networks in IoT Systems. Engineering Cyber-Physical Systems and Critical Infrastructures, vol 6. Springer, Cham. https://doi.org/10.1007/978-3-031-31952-5_8

Download citation

Publish with us

Policies and ethics