Version 1
: Received: 6 November 2024 / Approved: 7 November 2024 / Online: 7 November 2024 (13:30:31 CET)
How to cite:
Koutsojannis, C.; Mariettou, S. Artificial Intelligence and Algorithmic Approaches of Health Security Systems: A Review. Preprints2024, 2024110526. https://doi.org/10.20944/preprints202411.0526.v1
Koutsojannis, C.; Mariettou, S. Artificial Intelligence and Algorithmic Approaches of Health Security Systems: A Review. Preprints 2024, 2024110526. https://doi.org/10.20944/preprints202411.0526.v1
Koutsojannis, C.; Mariettou, S. Artificial Intelligence and Algorithmic Approaches of Health Security Systems: A Review. Preprints2024, 2024110526. https://doi.org/10.20944/preprints202411.0526.v1
APA Style
Koutsojannis, C., & Mariettou, S. (2024). Artificial Intelligence and Algorithmic Approaches of Health Security Systems: A Review. Preprints. https://doi.org/10.20944/preprints202411.0526.v1
Chicago/Turabian Style
Koutsojannis, C. and Savina Mariettou. 2024 "Artificial Intelligence and Algorithmic Approaches of Health Security Systems: A Review" Preprints. https://doi.org/10.20944/preprints202411.0526.v1
Abstract
This paper explores the overall picture regarding security systems in healthcare through an extensive review of the literature. As the healthcare sector has now become digitalized, the security of healthcare systems and, by extension, the protection of patient data is a key concern in the modern era of technological advances. Therefore, a secure and integrated system is now essential. Thus, to evaluate the relationship between security systems and healthcare quality, we conducted literature research to identify studies reporting their association. The timeline of our review is based on published studies covering the period from 2018 to 2024, with entries identified through a search of the relevant literature, focusing on the most recent developments due to advances in artificial intelligence and algorithmic approaches. Thirty-three studies were included in our final survey. Our findings underscore the critical role of security systems in healthcare that significantly improve patient outcomes and maintain the integrity of healthcare services. According to our approach, the studies analyzed highlight the growing importance of advanced security frameworks, especially those incorporating artificial intelligence and algorithmic methodologies, in safeguarding healthcare systems while enhancing patient care quality. According to this study, most of the research analyzed uses algorithmic technology approaches, many researchers prove that ransomware is the most common threat to hospital information systems, and more studies are needed to evaluate the performance of the systems created against this attack.
Keywords
Health Security; Data Protection; Cybersecurity in Healthcare; Algorithmic; Artificial Intelligence; Approaches
Subject
Computer Science and Mathematics, Security Systems
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.
