Ethical and Privacy Challenges in Cloud-Based Health Informatics for Digital Health Records
DOI:
https://doi.org/10.56294/mw2024511Keywords:
Cloud-Based Health Informatics, Digital Health Records, Ethical Challenges, Privacy, Data Governance, Regulatory Compliance, Cybersecurity, Patient AutonomyAbstract
Offering hitherto unheard-of chances to improve data administration, patient care, and clinical decision-making, digital transformation in healthcare has driven the general acceptance of cloud-based health informatics. Moving digital health information to the cloud raises a lot of moral and privacy questions. It examines the evolution of cloud technology throughout time, current use of digital records, and open, scalable architecture underlying health data management. Important privacy concerns like data security, regulatory compliance, and the difficulties of making techniques anonymous—as well as ethical concerns including patient liberty, informed permission, data ownership, and equitable access—are covered in the speech. The paper provides a whole strategy for striking a compromise between innovation and strict safety precautions. It achieves this by considering pragmatic and technical concerns and proposing solutions, such as fresh technologies safeguarding privacy and equitable approaches to data management. The findings reveal that we immediately need combination governance structures and community engagement to establish confidence and ensure that cloud computing may improve things without endangering patient rights and data security.
References
Hassen, O.A.; Abdulhussein, A.A.; Darwish, S.M.; Othman, Z.A.; Tiun, S.; Lotfy, Y.A. Towards a Secure Signature Scheme Based on Multimodal Biometric Technology: Application for IoT Blockchain Network. Symmetry 2020, 12, 1699.
Griebel, L.; Prokosch, H.-U.; Köpcke, F.; Toddenroth, D.; Christoph, J.; Leb, I.; Engel, I.; Sedlmayr, M. A scoping review of cloud computing in healthcare. BMC Med. Inform. Decis. Making 2015, 15, 17.
Kruse, C.S.; Mileski, M.; Vijaykumar, A.G.; Viswanathan, S.V.; Suskandla, U.; Chidambaram, Y. Impact of electronic health records on long-term care facilities: Systematic review. JMIR Med. Inform. IEEE 2017, 5, e35.
Yang, M.; Hara-Azumi, Y. Implementation of Lightweight eHealth Applications on a Low-Power Embedded Processor. IEEE Access 2020, 8, 121724–121732.
Butpheng, C.; Yeh, K.-H.; Xiong, H. Security and Privacy in IoT-Cloud-Based e-Health Systems—A Comprehensive Review. Symmetry 2020, 12, 1191.
Venčkauskas, A.; Štuikys, V.; Toldinas, J.; Jusas, N. A Model-Driven Framework to Develop Personalized Health Monitoring. Symmetry 2016, 8, 65.
Khan, M.A. An IoT Framework for Heart Disease Prediction Based on MDCNN Classifier. IEEE Access 2020, 8, 34717–34727.
Huh, J.-H. Big Data Analysis for Personalized Health Activities: Machine Learning Processing for Automatic Keyword Extraction Approach. Symmetry 2018, 10, 93.
Ismail, L.; Materwala, H. Blockchain Paradigm for Healthcare: Performance Evaluation. Symmetry 2020, 12, 1200.
Malluhi, Q.; Tran, V.D.; Trinh, V.C. Decentralized Broadcast Encryption Schemes with Constant Size Ciphertext and Fast Decryption. Symmetry 2020, 12, 969.
Abdulghani, H.A.; Nijdam, N.A.; Collen, A.; Konstantas, D. A Study on Security and Privacy Guidelines, Countermeasures, Threats: IoT Data at Rest Perspective. Symmetry 2019, 11, 774.
Kang, J.; Chung, H.; Lee, J.; Park, J.H. The Design and Analysis of a Secure Personal Healthcare System Based on Certificates. Symmetry 2016, 8, 129.
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Copyright (c) 2024 Swarna Swetha Kolaventi, Sidhartha Dash, Dheeravath Raju, Mohit Gupta, Nipun Setia, Ashutosh Niranjan, Jamuna.K.V (Author)

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The article is distributed under the Creative Commons Attribution 4.0 License. Unless otherwise stated, associated published material is distributed under the same licence.