Version 1
: Received: 1 July 2024 / Approved: 1 July 2024 / Online: 2 July 2024 (14:48:45 CEST)
How to cite:
Uriawan, W.; Adriansyah, S.; Maulidiyah, S. J.; Julianto, S.; Jamil, W. S. Challenges and Opportunities: Improve Patient Data Security and Privacy in Distributed Systems. Preprints2024, 2024070163. https://doi.org/10.20944/preprints202407.0163.v1
Uriawan, W.; Adriansyah, S.; Maulidiyah, S. J.; Julianto, S.; Jamil, W. S. Challenges and Opportunities: Improve Patient Data Security and Privacy in Distributed Systems. Preprints 2024, 2024070163. https://doi.org/10.20944/preprints202407.0163.v1
Uriawan, W.; Adriansyah, S.; Maulidiyah, S. J.; Julianto, S.; Jamil, W. S. Challenges and Opportunities: Improve Patient Data Security and Privacy in Distributed Systems. Preprints2024, 2024070163. https://doi.org/10.20944/preprints202407.0163.v1
APA Style
Uriawan, W., Adriansyah, S., Maulidiyah, S. J., Julianto, S., & Jamil, W. S. (2024). Challenges and Opportunities: Improve Patient Data Security and Privacy in Distributed Systems. Preprints. https://doi.org/10.20944/preprints202407.0163.v1
Chicago/Turabian Style
Uriawan, W., Sigit Julianto and Wildan Sophal Jamil. 2024 "Challenges and Opportunities: Improve Patient Data Security and Privacy in Distributed Systems" Preprints. https://doi.org/10.20944/preprints202407.0163.v1
Abstract
In the era of Big Data and the Internet of Things (IoT), ensuring the security and privacy of patient data within distributed health systems is paramount. This research delves into the challenges posed by these advancements and explores viable solutions, focusing notably on blockchain technology, data encryption methods, and access control mechanisms. Employing a comprehensive literature review approach, the study synthesizes current research findings, complemented by analyses of existing frameworks and case studies from healthcare organizations, offering practical insights. Interviews with cybersecurity experts and healthcare IT professionals provide nuanced perspectives on current security issues and emerging trends. Through qualitative and quantitative data analyses, the study generates recommendations aimed at enhancing patient data security. These include the adoption of new frameworks and innovative technologies to fortify healthcare data systems. By addressing these critical aspects, this research aims to significantly contribute to the advancement of a more secure and efficient healthcare ecosystem in today's digital landscape.
Keywords
blockchain technology; data encryption; healthcare security; patient data privacy; Big Data; Internet of Things (IoT); cybersecurity; digital healthcare
Subject
Computer Science and Mathematics, Computer Science
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
