“Challenges Of Big Data Revolution In Health Care System”


  • Al Shammari, Naif Dhidan , Al Bedaiwey, Khalid Abdullah , Al Otaibi, Mansour Bakheet , Hadadi, Salha Mohammed , Al Otaibi, Ashwaq Turky , Al Otaibi, Fahad Marzouq




The big data revolution and state-of-the-art data analytics are driving advances in healthcare, including earlier diagnosis, better care coordination, and better outcomes at lower costs. Technologies for storing, merging, and analyzing data have had far-reaching effects in business and medicine. As the healthcare sector begins to tap into the potential of big data, concerns around security and privacy have come to the fore. The widespread potential of the Internet of Medical Things (IoMT) has piqued the interest of academics. Sensitive healthcare data acquired by smart healthcare sensors and IoT-enabled medical equipment is sent to server nodes in a secure manner, with no human intervention required. It is difficult to safely collect and transfer healthcare data towards Fog and cloud servers for a number of reasons, including but not limited to concerns about security and privacy. In this study, we looked at the available surveys to determine the privacy and security threats brought on by the big data revolution in the healthcare sector. We have conducted a survey and analytical study of fog-assisted secure healthcare data collecting techniques.



2022-06-01 — Updated on 2022-06-01




How to Cite

“Challenges Of Big Data Revolution In Health Care System”. (2022). Journal of Pharmaceutical Negative Results, 13(2), 609-617. https://doi.org/10.47750/pnr.2022.13.02.90