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Industry 4.0: A Revolution in Healthcare Sector via Cloud, Fog Technologies

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Intelligent Interactive Multimedia Systems for e-Healthcare Applications

Abstract

Industry 4.0 and its major empowering advancements in data, information, and communication are changing the world of services as well as development. The major impact of this can be observed in the healthcare sector, where eHealth and its whole environment are being reformed by the Internet of things, cloud and fog computing, and big data technologies, pushing it toward Healthcare 4.0. Health care 4.0 can be perceived as an assortment of technical processes emerging in the form of physical, biological, and computerized worlds pointed toward upgrading the viability and reliability of wellbeing and principles for the change of data into usable and accessible data by health experts. Yet, it is a dynamic challenge to operationalize and subjectively clarify the commitments and contributions of Industry 4.0 with regard to the health sector. This paper gives a glance at the health sector connected to Industry 4.0 and its attributes. Furthermore, a review of key execution situations are examined and furthermore address the open challenges for the extended utilization of innovation in the sector.

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References

  1. Chatterjee, S., Chakraborty, S., Sarker, S., Sarker, S., & Lau, F. Y. (2009). Examining the success factors for mobile work in healthcare: A deductive study. Decision Support Systems, 46(3), 620–633.

    Article  Google Scholar 

  2. Aceto, G., Persico, V., & Pescapé, A. (2020). Industry 4.0 and health: Internet of things, big data, and cloud computing for healthcare 4.0. Journal of Industrial Information Integration, 18, 100129.

    Google Scholar 

  3. Xu, L. D., Xu, E. L., & Li, L. (2018). Industry 4.0: State of the art and future trends. International Journal of Production Research, 56(8), 2941–2962.

    Google Scholar 

  4. Kim, J. H. (2017). A review of cyber-physical system research relevant to the emerging IT trends: Industry 4.0, IoT, big data, and cloud computing. Journal of Industrial Integration and Management, 2(03), 1750011.

    Google Scholar 

  5. Elhoseny, M., Abdelaziz, A., Salama, A. S., Riad, A. M., Muhammad, K., & Sangaiah, A. K. (2018). A hybrid model of internet of things and cloud computing to manage big data in health services applications. Future generation computer systems, 86, 1383–1394.

    Article  Google Scholar 

  6. Elhoseny, M., Ramírez-González, G., Abu-Elnasr, O. M., Shawkat, S. A., Arunkumar, N., & Farouk, A. (2018). Secure medical data transmission model for IoT-based healthcare systems. IEEE Access, 6, 20596–20608.

    Google Scholar 

  7. Farahani, B., Firouzi, F., Chang, V., Badaroglu, M., Constant, N., & Mankodiya, K. (2018). Towards fog-driven IoT eHealth: Promises and challenges of IoT in medicine and healthcare. Future Generation Computer Systems, 78, 659–676.

    Article  Google Scholar 

  8. Maguluri, L. P., Srinivasarao, T., Syamala, M., Ragupathy, R., & Nalini, N. (2018). Efficient smart emergency response system for fire hazards using IoT. International Journal of Advanced Computer Science and Applications (IJACSA), 9(1), 314–320.

    Google Scholar 

  9. Hood, L., & Flores, M. (2012). A personal view on systems medicine and the emergence of proactive P4 medicine: Predictive, preventive, personalized and participatory. New Biotechnology, 29(6), 613–624.

    Article  Google Scholar 

  10. Wu, T., Wu, F., Redoute, J. M., & Yuce, M. R. (2017). An autonomous wireless body area network implementation towards IoT connected healthcare applications. IEEE access, 5, 11413–11422.

    Article  Google Scholar 

  11. Achanta, S. D. M., & Karthikeyan, T. (2019). A wireless IOT system towards gait detection technique using FSR sensor and wearable IOT devices. International Journal of Intelligent Unmanned Systems.

    Google Scholar 

  12. Rodrigues, J. J., Segundo, D. B. D. R., Junqueira, H. A., Sabino, M. H., Prince, R. M., Al-Muhtadi, J., & De Albuquerque, V. H. C. (2018). Enabling technologies for the internet of health things. IEEE Access, 6, 13129–13141.

    Google Scholar 

  13. AlMotiri, S. H., Khan, M. A., & Alghamdi, M. A. (2016). August. Mobile health (m-health) system in the context of IoT. In 2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW) (pp. 39–42). IEEE.

    Google Scholar 

  14. Kuo, M. H. (2011). Opportunities and challenges of cloud computing to improve health care services. Journal of medical Internet research, 13(3), e67.

    Google Scholar 

  15. Soumya, I., Zia Ur Rahman, M., Rama Koti Reddy, D. V., & Lay-Ekuakille, A. (2015). Efficient block processing of long duration biotelemetric brain data for health care monitoring. Review of Scientific Instruments, 86(3), 035003.

    Google Scholar 

  16. Rolim, C. O., Koch, F. L., Westphall, C. B., Werner, J., Fracalossi, A., Salvador, G. S. (2010). A cloud computing solution for patient's data collection in health care institutions. In 2010 Second International Conference on eHealth, Telemedicine, and Social Medicine (pp. 95–99). IEEE.

    Google Scholar 

  17. Rahmani, A. M., Gia, T. N., Negash, B., Anzanpour, A., Azimi, I., Jiang, M., & Liljeberg, P. (2018). Exploiting smart e-Health gateways at the edge of healthcare Internet-of-Things: A fog computing approach. Future Generation Computer Systems, 78, 641–658.

    Article  Google Scholar 

  18. Satyanarayanan, M. (2013) Cloudlets: At the leading edge of cloud-mobile convergence. In Proceedings of the 9th International ACM Sigsoft Conference on Quality of Software Architectures (pp. 1–2).

    Google Scholar 

  19. Raghupathi, W., & Raghupathi, V. (2014). Big data analytics in healthcare: Promise and potential. Health information science and systems, 2(1), 3.

    Article  Google Scholar 

  20. Lohr, S. (2012). The age of big data. New York Times, 11.

    Google Scholar 

  21. Lee, J., Kao, H. A., & Yang, S. (2014). Service innovation and smart analytics for industry 4.0 and big data environment. Procedia Cirp, 16(1), 3–8.

    Google Scholar 

  22. Walsh, K., & Wroe, C. (2020). Mobilising computable biomedical knowledge: challenges for clinical decision support from a medical knowledge provider. BMJ Health & Care Informatics, 27(2), e100121.

    Google Scholar 

  23. Salman, M. N., Rao, P. T., & Rahman, M. Z. U. (2017). Cardiac signal enhancement using normalised variable step algorithm for remote healthcare monitoring systems. International Journal of Medical Engineering and Informatics, 9(2), 145–161.

    Article  Google Scholar 

  24. Habib, C., Makhoul, A., Darazi, R., & Salim, C. (2016). Self-adaptive data collection and fusion for health monitoring based on body sensor networks. IEEE Transactions on Industrial Informatics, 12(6).

    Google Scholar 

  25. Yuehong, Y., Zeng, Y., Chen, X., & Fan, Y. (2016). The internet of things in healthcare: An overview. Journal of Industrial Information Integration, 1.

    Google Scholar 

  26. Jovanov, E., & Milenkovic, A. (2011). Body area networks for ubiquitous healthcare applications: opportunities and challenges. Journal of Medical Systems, 35(5).

    Google Scholar 

  27. Barua, M., Liang, X., Lu, R., & Shen, X. (2011). Espac: Enabling security and patientcentric access control for ehealth in cloud computing. International Journal of Security and Networks, 6(2–3).

    Google Scholar 

  28. Kulkarni, P., & Ozturk, Y. (2011). mphasis: Mobile patient healthcare and sensor information system. Journal of Network and Computer Applications, 34(1).

    Google Scholar 

  29. Ramesh, D., Suraj, P., & Saini, L. (2016). Big data analytics in healthcare: A survey approach. In 2016 International Conference on Microelectronics, Computing and Communications (MicroCom). IEEE.

    Google Scholar 

  30. Vicini, S., Bellini, S., Rosi, A., & Sanna, A. (2012). An internet of things enabled interactive totem for children in a living lab setting. In 2012 18th International ICE Conference on Engineering, Technology and Innovation, June 2012.

    Google Scholar 

  31. Vazquez-Briseno, M., Navarro-Cota, C., Nieto-Hipolito, J. I., Jimenez-Garcia, E., & Sanchez-Lopez, J. D. (2012). A proposal for using the internet of things concept to increase children’s health awareness. In CONIELECOMP 2012, 22nd International Conference on Electrical Communications and Computers, Feb 2012.

    Google Scholar 

  32. Moh, M., Ho, L., Walker, Z., & Moh, T.-S. (2008). A prototype on rfid and sensor networks for elder health care. In RFID handbook: Applications, technology, security, and privacy, 17.

    Google Scholar 

  33. Viceconti, M., Hunter, P., & Hose, R. (2015). Big data, big knowledge: Big data for personalized healthcare. IEEE Journal of Biomedical and Health Informatics, 19(4).

    Google Scholar 

  34. Issa, N. T., Byers, S. W., & Dakshanamurthy, S. (2014). Big data: The next frontier for innovation in therapeutics and healthcare. Expert Review of Clinical Pharmacology, 7(3).

    Google Scholar 

  35. Chawla, N. V., & Davis, D. A. (2013). Bringing big data to personalized healthcare: A patient-centered framework. Journal of General Internal Medicine, 28(3).

    Google Scholar 

  36. Chen, D., Chen, Y., Brownlow, B. N., Kanjamala, P. P., Arredondo, C. A. G., Radspinner, B. L., & Raveling, M. A. (2017). Real-time or near real-time persisting daily healthcare data into hdfs and elasticsearch index inside a big data platform. IEEE Transactions on Industrial Informatics, 13(2).

    Google Scholar 

  37. Sadeghi, A.-R., Wachsmann, C., & Waidner, M. (2015). Security and privacy challenges in industrial internet of things. In 2015 52nd ACM/EDAC/IEEE on Design Automation Conference (DAC). IEEE.

    Google Scholar 

  38. Balakrishna, G., & Moparthi, N. R. (2019). ESBL: Design and implement a cloud integrated framework for IoT load balancing. International Journal of Computers Communications & Control, 14(4), 459–474.

    Article  Google Scholar 

  39. S´anchez-Guerrero, R., Mendoza, F.A., D´ıaz-S´anchez, D., Cabarcos, P. A., & L´opez, A. M. (2017). Collaborative ehealth meets security: Privacy-enhancing patient profile management. IEEE Journal of Biomedical and Health Informatics, 21(6).

    Google Scholar 

  40. Jirkovsky, V., Obitko, M., & Marik, V. (2016). Understanding data heterogeneity in the context of cyber-physical systems integration. IEEE Transactions on Industrial Informatics, 99.

    Google Scholar 

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Correspondence to Gillala Rekha .

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Rekha, G., Yashaswini, J. (2022). Industry 4.0: A Revolution in Healthcare Sector via Cloud, Fog Technologies. In: Tyagi, A.K., Abraham, A., Kaklauskas, A. (eds) Intelligent Interactive Multimedia Systems for e-Healthcare Applications. Springer, Singapore. https://doi.org/10.1007/978-981-16-6542-4_16

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