Journal:Security and privacy in cloud-based eHealth systems
Full article title | Security and privacy in cloud-based eHealth systems |
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Journal | Symmetry |
Author(s) | Sivan, Remya; Zukarnain, Zuriati, A. |
Author affiliation(s) | University Putra Malaysia |
Primary contact | Email: gs59108 at student dot upm dot edu dot my |
Year published | 2021 |
Volume and issue | 13(5) |
Article # | 742 |
DOI | 10.3390/sym13050742 |
ISSN | 2073-8994 |
Distribution license | Creative Commons Attribution 4.0 International |
Website | https://www.mdpi.com/2073-8994/13/5/742/htm |
Download | https://www.mdpi.com/2073-8994/13/5/742/pdf (PDF) |
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Abstract
Cloud-based healthcare computing has changed the face of healthcare in many ways. The main advantages of cloud computing in healthcare are scalability of the required service and the provision to upscale or downsize the data storge, particularly in conjunction with approaches to artificial intelligence (AI) and machine learning. This paper examines various research studies to explore the utilization of intelligent techniques in health systems and mainly focuses on the security and privacy issues in the current technologies. Despite the various benefits related to cloud computing applications for healthcare, there are different types of management, technology handling, security measures, and legal issues to be considered and addressed. The key focus of this paper is to address the increased demand for cloud computing and its definition, technologies widely used in healthcare, their problems and possibilities, and the way protection mechanisms are organized and prepared when the company chooses to implement the latest evolving service model. As such, we sought out current literature on different approaches and mechanisms used in eHealth to deal with security and privacy issues. Some of these approaches have strengths and weaknesses. After selecting original articles, a literature review was carried out, and we identified several models adopted in their solutions. We arrived at the reviewed articles after comparing the models used.
Keywords: eHealth, cloud computing, security, privacy in health systems
Introduction
Innovative changes in science, technology, and the broad understanding of our universe have permitted the evolution of practical, progressive answers to enhance the nature of human existence. Researchers considering these innovative developments have identified and assessed wellbeing data from various sources to acquire actionable information and address issues concerning human wellbeing, particularly in the realm of healthcare. In this manner, the advancement of incorporated medical care innovations—including technological innovations—has the likelihood to enhance efficiency and improve understanding of the results at each level of the medical care framework. Long-term care (LTC) facilities are a crucial a part of the healthcare industry, providing care to the fastest-growing group of the population. However, the adoption of electronic health records (EHRs) in LTC facilities lags behind other areas of the health care industry.[1] The advancement of new electronic health (eHealth) application frameworks can take care of specific issues pertinent to conventional medical care frameworks by means of powerful patient wellbeing controls, pervasive information access, distant patient checking, quick clinical intercession, and decentralized electronic medical records. These frameworks can oversee wellbeing data and patient information, upgrade personal satisfaction, increase coordinated effort, improve results, decrease expenses, and increase the general efficiency of electronic healthcare administrations.[2] For healthcare, EHRs are required to be shared among different healthcare organizations, medical drug manufacturers, pharmacists, medical insurance providers, researchers, and patients. This poses a significant challenge to keeping patients' sensitive data secure.[3] Eisenach highlights this in his depiction of eHealth as a tech industry that addresses the intersection of the internet, systems administration, and medical services, which has the potential to benefit the framework of clients and partners. The growing concept of eHealth involves the convergence of clinical informatics, general human wellbeing, and the wellbeing and administration of the internet, which helps drive the overall advancement of new innovation to tackle profound issues, drive down expenses, and improve understanding.[4]
References
- ↑ Kruse, C.S.; Mileski, M.; Vijaykumar, A.G. et al. (2017). "Impact of Electronic Health Records on Long-Term Care Facilities: Systematic Review". JMIR Medical Informatics 5 (3): e35. doi:10.2196/medinform.7958. PMC PMC5640822. PMID 28963091. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5640822.
- ↑ Butpheng, C.; Yeh, K.-H.; Xiong, H. (2020). "Security and Privacy in IoT-Cloud-Based e-Health Systems—A Comprehensive Review". Symmetry 12 (7): 1191. doi:10.3390/sym12071191.
- ↑ Ismail, L.; Materwala, H. (2020). "Blockchain Paradigm for Healthcare: Performance Evaluation". Symmetry 12 (8): 1200. doi:10.3390/sym12081200.
- ↑ Malluhi, Q.; Tran, V.D.; Trinh, V.C (2020). "Decentralized Broadcast Encryption Schemes with Constant Size Ciphertext and Fast Decryption". Symmetry 12 (6): 969. doi:10.3390/sym12060969.
Notes
This presentation is faithful to the original, with only a few minor changes to presentation. Some grammar and punctuation was cleaned up to improve readability. In some cases important information was missing from the references, and that information was added.