Advancements in Electronic Health Record Systems : Enhancing Data Privacy and Security Measures
Keywords:
Electronic, Health, Record, Data, PrivacyAbstract
Advancements in Electronic Health Record (EHR) systems have revolutionized healthcare management by enhancing data accessibility and patient care efficiency. However, the increased digitalization of health information raises significant concerns regarding data privacy and security. This study aims to analyze the latest developments in EHR systems with a focus on advanced data protection measures, including encryption, blockchain technology, and access control mechanisms. A qualitative research approach was employed, utilizing case studies and expert interviews to explore the effectiveness of these security solutions. The findings indicate that implementing multilayered security protocols significantly reduces the risk of data breaches and unauthorized access. Additionally, the integration of blockchain technology enhances data integrity and patient trust. These advancements not only safeguard sensitive health information but also promote regulatory compliance and interoperability among healthcare systems. The study contributes to the existing body of knowledge by highlighting best practices for EHR security management, offering valuable insights for healthcare providers and policymakers. Further research is recommended to explore emerging technologies in data privacy for more robust EHR systems.References
Alharthi, H., Al-Muallim, S., & Al-Harbi, A. (2019). Theoretical framework of Electronic Health Record (EHR) implementation success factors. ResearchGate. https://www.researchgate.net/figure/Theoretical-framework-of-Electronic-Health-Record-EHR-implementation-suc-cess-factors_fig3_335062949
Alsulami, H., & Sandhu, K. (2024). Technologies and methods for enhancing security and privacy in Health Information Systems (HISs): A systematic review. Computers, 13(2), 41. https://www.mdpi.com/2073-431X/13/2/41
Alsulami, H., Sandhu, K., & Woods, P. (2022). Perceived vulnerability of EHRs to security concerns: A literature review. Journal of Biomedical Informatics, 131, 104117. https://pmc.ncbi.nlm.nih.gov/articles/PMC9647912
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77-101.
Creswell, J. W. (2014). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (4th ed.). Sage Publications.
Kvale, S., & Brinkmann, S. (2009). InterViews: Learning the Craft of Qualitative Research Interviewing (2nd ed.). Sage Publications.
Mettler, M. (2016). Blockchain technology in healthcare: The revolution starts here. Proceedings of the 2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom), 1-3.
Nguyen, L., Bellucci, E., & Nguyen, L. T. (2020). Electronic health record (EHR) adoption: Effects and barriers. Journal of Medical Internet Research, 22(11), e19349. https://pmc.ncbi.nlm.nih.gov/articles/PMC7761950
Palinkas, L. A., Horwitz, S. M., Green, C. A., Wisdom, J. P., Duan, N., & Hoagwood, K. (2015). Purposeful sampling for qualitative data collection and analysis in mixed method implementation research. Administration and Policy in Mental Health and Mental Health Services Research, 42(5), 533-544.
Rahman, H., Sandhu, K., & Woods, P. (2023). Enhancing user compliance in EHR security: A systematic review. Journal of Health Informatics, 17(2), 105-119.
Rizvi, R., & Barnaghi, P. (2023). A privacy model for Electronic Health Records using conceptual privacy ontology and machine learning. Informatics, 10(3), 60. https://www.mdpi.com/2227-9709/10/3/60
U.S. Department of Health and Human Services. (2022). Privacy and Security of Electronic Health Records. Health Information Privacy. https://www.hhs.gov/sites/default/files/ocr/privacy/hipaa/understanding/consumers/privacy-security-electronic-records.pdf
Yin, R. K. (2018). Case Study Research and Applications: Design and Methods (6th ed.). Sage Publications.
Yue, X., Wang, H., Jin, D., Li, M., & Jiang, W. (2020). Healthcare data privacy with Blockchain: A decentralized and privacy-preserving framework using Hyperledger Fabric. arXiv preprint arXiv:2011.09260. https://arxiv.org/abs/2011.09260
Zhang, L., Wang, X., & Chen, Y. (2022). Advanced encryption methods for secure electronic health records. International Journal of Information Security, 21(1), 23-38.
