Health is considered as the global challenge for human kind. According to World Health Organization (WHO), constant patient monitoring is said to be the highest standard in hospitals. The developing amount of data in healthcare industry has made predictable the big data techniques adoption in range of enhancing the healthcare delivery quality. Big data plays a significant role in medical industry by governing numerous amount of data, such that the information is maintained and gathered from various platforms. These are possible by performing big data analytics to analyse and capture every information, by resulting patient’s entire history and appropriate information at right time. Therefore, the present study reviews the dimension of big data and significance of IoE (Internet of Everything) in medical field and the application and challenges of big-data in Health care System are also reviewed. The study highlights the IoE based Big-data journey in Medical Industry.

• Medical Industry
• Internet of Things
• Internet of Everything
• Big data

[1] R. Kashyap, "Applications of wireless sensor networks in healthcare," in IoT and WSN Applications for Modern Agricultural Advancements: Emerging Research and Opportunities, ed: IGI Global, 2020, pp. 8-40.

[2] F. Abdali-Mohammadi, M. N. Meqdad, and S. Kadry, "Development of an IoT-based and cloud-based disease prediction and diagnosis system for healthcare using machine learning algorithms," IAES International Journal of Artificial Intelligence, vol. 9, p. 766, 2020.

[3] F. Khennou, Y. I. Khamlichi, and N. E. H. Chaoui, "Improving the use of big data analytics within electronic health records: a case study based OpenEHR," Procedia Computer Science, vol. 127, pp. 60-68, 2018.

[4] H. S. Jim, A. I. Hoogland, N. C. Brownstein, A. Barata, A. P. Dicker, H. Knoop, et al., "Innovations in research and clinical care using patient‐generated health data," CA: a cancer journal for clinicians, vol. 70, pp. 182-199, 2020.

[5] N. El aboudi and L. Benhlima, "Big Data Management for Healthcare Systems: Architecture, Requirements, and Implementation," Advances in Bioinformatics, vol. 2018, p. 4059018, 2018/06/21 2018.

[6] A. E. Sharma, N. A. Rivadeneira, J. Barr-Walker, R. J. Stern, A. K. Johnson, and U. Sarkar, "Patient engagement in health care safety: an overview of mixed-quality evidence," Health affairs, vol. 37, pp. 1813-1820, 2018.

[7] M. Hasan, M. Shahjalal, M. Z. Chowdhury, and Y. M. Jang, "Real-time healthcare data transmission for remote patient monitoring in patch-based hybrid OCC/BLE networks," Sensors, vol. 19, p. 1208, 2019.

[8] N. C. Institute, "Cancer Moonshot https://www.cancer.gov/research/key-initiatives/moonshot-cancer-initiative," ed, 2016.

[9] W. J. Hopp, J. Li, and G. Wang, "Big data and the precision medicine revolution," Production and Operations Management, vol. 27, pp. 1647-1664, 2018.

[10] S. Kumar and M. Singh, "Big data analytics for healthcare industry: impact, applications, and tools," Big data mining and analytics, vol. 2, pp. 48-57, 2018.

[11] D. C. Yacchirema, D. Sarabia-Jácome, C. E. Palau, and M. Esteve, "A smart system for sleep monitoring by integrating IoT with big data analytics," IEEE Access, vol. 6, pp. 35988-36001, 2018.

[12] K. N. Griggs, O. Ossipova, C. P. Kohlios, A. N. Baccarini, E. A. Howson, and T. Hayajneh, "Healthcare blockchain system using smart contracts for secure automated remote patient monitoring," Journal of medical systems, vol. 42, pp. 1-7, 2018.

[13] N. Mehta and A. Pandit, "Concurrence of big data analytics and healthcare: A systematic review," International journal of medical informatics, vol. 114, pp. 57-65, 2018.

[14] R. Kashyap and A. D. Piersson, "Big data challenges and solutions in the medical industries," in Handbook of Research on Pattern Engineering System Development for Big Data Analytics, ed: IGI Global, 2018, pp. 1-24.

[15] S. Shilo, H. Rossman, and E. Segal, "Axes of a revolution: challenges and promises of big data in healthcare," Nature medicine, vol. 26, pp. 29-38, 2020.