Comparing Healthcare-Specific EA Frameworks: Pros And Cons
Keywords:
enterprise architecture, healthcare systemsAbstract
Healthcare-specific EA frameworks' pros and cons are addressed. Technological, operational, and regulatory integration complicates healthcare systems, therefore enterprise design must incorporate organizational strategy and IT infrastructure. This study examines how EA streamlines processes, boosts data sharing, and adheres to healthcare standards.
We defend healthcare-specific EA frameworks. Healthcare-specific EA frameworks must safeguard patient data (HIPAA), ensure high system availability, assess real-time data for clinical decision-making, and integrate EHR and HIS. Healthcare architectures must provide security and compliance throughout system design and operation due to strict requirements. TOGAF, Zachman Framework, FEAF, and HEA were established to meet these aims. The framework architecture, methods, and healthcare system applications are reviewed.
References
J. A. Zachman, "A Framework for Information Systems Architecture," IBM Systems Journal, vol. 26, no. 3, pp. 276–292, 1987.
The Open Group, "TOGAF Version 9.2," The Open Group, 2018. [Online]. Available: https://www.opengroup.org/togaf
S. D. Gomes, F. P. Santos, and J. C. Júnior, "Adopting an Enterprise Architecture Framework for Healthcare Organizations," IEEE Access, vol. 7, pp. 154180–154195, 2019. doi: 10.1109/ACCESS.2019.2957839.
R. L. Johnson and S. T. Smith, "Implementing the Federal Enterprise Architecture Framework: Challenges and Solutions," International Journal of Information Systems for Crisis Response and Management, vol. 12, no. 1, pp. 1–15, 2020. doi: 10.4018/IJISCRAM.2020010101.
D. F. de Almeida and F. M. de Oliveira, "Healthcare Enterprise Architecture: A Conceptual Framework," Journal of Biomedical Informatics, vol. 101, no. 103332, pp. 1–15, 2019. doi: 10.1016/j.jbi.2019.103332.
Tamanampudi, Venkata Mohit. "Automating CI/CD Pipelines with Machine Learning Algorithms: Optimizing Build and Deployment Processes in DevOps Ecosystems." Distributed Learning and Broad Applications in Scientific Research 5 (2019): 810-849.
S. Kumari, “AI-Powered Cloud Security for Agile Transformation: Leveraging Machine Learning for Threat Detection and Automated Incident Response ”, Distrib Learn Broad Appl Sci Res, vol. 6, pp. 467–488, Oct. 2020
Zhu, Yue, and Johnathan Crowell. "Systematic Review of Advancing Machine Learning Through Cross-Domain Analysis of Unlabeled Data." Journal of Science & Technology 4.1 (2023): 136-155.
Tamanampudi, Venkata Mohit. "Leveraging Machine Learning for Dynamic Resource Allocation in DevOps: A Scalable Approach to Managing Microservices Architectures." Journal of Science & Technology 1.1 (2020): 709-748.
S. Kumari, “Kanban and Agile for AI-Powered Product Management in Cloud-Native Platforms: Improving Workflow Efficiency Through Machine Learning-Driven Decision Support Systems”, Distrib Learn Broad Appl Sci Res, vol. 5, pp. 867–885, Aug. 2019
K. H. Yu and M. N. Ahmad, "Interoperability Frameworks in Healthcare: A Review," IEEE Transactions on Information Technology in Biomedicine, vol. 15, no. 5, pp. 662–669, 2011. doi: 10.1109/TITB.2010.2053216.
R. A. Heeks, "Digital Transformation and Enterprise Architecture: Bridging the Gap," Information Systems Journal, vol. 31, no. 2, pp. 164–187, 2021. doi: 10.1111/isj.12324.
G. Almarzooqi and F. A. AlAzzeh, "Healthcare Standards and Regulations: The Role of Enterprise Architecture in Enhancing Compliance," Health Policy and Technology, vol. 10, no. 1, pp. 85–95, 2021. doi: 10.1016/j.hlpt.2020.09.005.
G. K. Selamat and A. Azman, "Enhancing Healthcare Delivery through Enterprise Architecture Frameworks," Health Information Science and Systems, vol. 8, no. 1, pp. 1–10, 2020. doi: 10.1007/s13755-020-00316-7.
H. S. Ahsen and H. N. Alotaibi, "A Comparative Study of TOGAF and Zachman Frameworks in Healthcare Organizations," Journal of Health Management, vol. 23, no. 4, pp. 541–553, 2021. doi: 10.1177/09720634211001360.
R. A. Roos and H. M. de Vries, "The Role of Enterprise Architecture in Digital Transformation of Healthcare: A Systematic Review," International Journal of Medical Informatics, vol. 149, no. 104427, pp. 1–13, 2021. doi: 10.1016/j.ijmedinf.2021.104427.
M. Rahman and H. N. Rahman, "Data Governance in Healthcare: A Framework for Best Practices," Health Informatics Journal, vol. 25, no. 3, pp. 1248–1260, 2019. doi: 10.1177/1460458217734667.
H. I. McCausland, "Enterprise Architecture in Healthcare: Theory, Frameworks and Practices," International Journal of Health Planning and Management, vol. 36, no. 1, pp. 86–97, 2021. doi: 10.1002/hpm.2917.
N. B. Proctor, "Utilizing Enterprise Architecture to Advance Population Health Management," Health Services Research, vol. 54, no. 4, pp. 909–918, 2019. doi: 10.1111/1475-6773.13200.
H. A. Abdurrahman, "Challenges in the Implementation of Enterprise Architecture in Healthcare: A Systematic Review," BMC Health Services Research, vol. 20, no. 1, pp. 1–10, 2020. doi: 10.1186/s12913-020-05881-y.
P. N. Shabir, "Integration of EHRs and HIS using EA Frameworks: Lessons from Case Studies," Journal of Health Information Management, vol. 35, no. 1, pp. 12–25, 2021.
F. G. Suhail, "The Impact of Digital Technologies on Healthcare Enterprise Architecture," Journal of Healthcare Engineering, vol. 2021, pp. 1–10, 2021. doi: 10.1155/2021/8850450.
L. Tan, "A Framework for Data Security in Health Information Systems," Health Informatics Journal, vol. 25, no. 3, pp. 987–998, 2019. doi: 10.1177/1460458217707064.
A. T. Shakir, "Innovations in Health IT: Implications for Enterprise Architecture," International Journal of Health Policy and Management, vol. 10, no. 2, pp. 82–93, 2021. doi: 10.34172/ijhpm.2021.07.
F. Saberi, "Improving Patient Outcomes through the Use of Enterprise Architecture Frameworks," Journal of Medical Systems, vol. 45, no. 8, pp. 1–10, 2021. doi: 10.1007/s10916-021-01780-5.
