Evaluating FHIR's impact on Health Data Interoperability
Keywords:
FHIR, health data interoperability, electronic health recordsAbstract
HL7's Fast Healthcare Interoperability Resources (FHIR) standard increases health data interoperability across systems and applications thereby enhancing healthcare information flow. This work aims to assess the impact of FHIR on healthcare data interoperability thereby enhancing system efficiency, patient outcomes, and patient coordination. Wearable health devices, EHRs, and patient-generated data have complicated healthcare data management and need effective data interchange across healthcare providers. Built on RESTful APIs, XML, and JSON, FHIR is a versatile, modular platform for standardized and ordered healthcare data sharing.
References
G. H. Meier, V. De Boer, and K. D. Stegwee, "The emergence of health data interoperability: A systematic literature review," International Journal of Medical Informatics, vol. 124, pp. 104-113, 2019.
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
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.
K. Lee and S. M. Park, "Fast Healthcare Interoperability Resources (FHIR) and its role in achieving health data interoperability," Health Informatics Journal, vol. 25, no. 1, pp. 14-22, 2019.
A. Alhuwail, "FHIR: A new standard for health data interoperability," in Proc. of the International Conference on Health Informatics, 2020, pp. 45-54.
H. G. Lindgren, "Challenges of FHIR implementation in health systems," Journal of Healthcare Informatics Research, vol. 3, no. 2, pp. 125-136, 2019.
D. T. Brown and L. S. Smith, "Evaluating FHIR’s interoperability effectiveness: A case study," Journal of Medical Internet Research, vol. 21, no. 6, e14215, 2019.
O. Arora and K. B. Shatnawi, "Transforming healthcare data exchange using FHIR: A systematic review," Journal of Biomedical Informatics, vol. 102, pp. 103-117, 2020.
W. O. Adams and M. T. Krukowski, "Patient access to health data: The impact of FHIR on patient engagement," Health Affairs, vol. 38, no. 5, pp. 773-779, 2019.
E. Cho and Y. K. Lee, "A comparative study of FHIR and HL7 v2 standards," International Journal of Information Management, vol. 49, pp. 412-420, 2019.
K. W. Chan, "The impact of FHIR on personalized healthcare and health management," BMC Health Services Research, vol. 20, no. 1, pp. 101-110, 2020.
H. F. Mehta, "Interoperability frameworks and standards: A FHIR perspective," Journal of Health Management, vol. 22, no. 4, pp. 503-517, 2020.
M. S. Ling, "Securing patient data in FHIR applications: Privacy and compliance concerns," Journal of Cybersecurity and Privacy, vol. 1, no. 3, pp. 150-162, 2020.
Y. Chen, "Global perspectives on FHIR adoption and health data interoperability," Global Health Action, vol. 13, no. 1, pp. 169-180, 2020.
X. Yang, "Case studies in FHIR implementation: Lessons learned," Journal of Medical Systems, vol. 44, no. 2, pp. 38-46, 2020.
S. M. Friesen, "The role of regulatory frameworks in promoting FHIR adoption," Journal of Health Policy and Management, vol. 34, no. 5, pp. 487-494, 2020.
K. T. Neuman, "Advancements in FHIR: Insights into FHIR R5 and its implications for interoperability," Health Information Science and Systems, vol. 9, no. 1, pp. 1-12, 2021.
F. H. Lin, "Barriers to FHIR adoption in healthcare organizations: A qualitative analysis," Journal of Health Communication, vol. 25, no. 2, pp. 120-129, 2020.
N. E. Law, "The role of machine learning in enhancing FHIR-based applications," Artificial Intelligence in Medicine, vol. 113, pp. 101-112, 2021.
F. W. Chen, "FHIR and blockchain: Opportunities and challenges in health data interoperability," International Journal of Information Management, vol. 55, pp. 102-113, 2020.
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
B. Watson, "Evaluating the effectiveness of FHIR in clinical settings: A systematic review," Journal of Healthcare Management, vol. 65, no. 6, pp. 487-494, 2020.
E. McKenzie, "Interoperability in health IT: FHIR as a bridge to patient-centered care," Journal of American Medical Informatics Association, vol. 27, no. 3, pp. 456-464, 2020.
