INTEGRATION OF CLINICAL GENOMICS IN ELECTRONIC HEALTH RECORDS: A COMPREHENSIVE FRAMEWORK FOR IMPLEMENTATION AND CLINICAL IMPACT
Keywords:
Clinical Genomics, Electronic Health Records, Clinical Decision Support Systems, Healthcare Interoperability, Precision MedicineAbstract
Integrating clinical genomic data into Electronic Health Records (EHR) represents a transformative advancement in healthcare delivery, offering unprecedented opportunities for personalized medicine while presenting significant implementation challenges. This comprehensive article review examines the current landscape of genomic-EHR integration, analyzing the technical infrastructure requirements, standardization frameworks, and interoperability solutions necessary for successful implementation. The article explores the development and deployment of genomic decision support systems, highlighting their role in clinical workflows and real-time decision-making. The article addresses critical challenges, including data storage requirements, format standardization, privacy concerns, and healthcare provider training needs. Furthermore, the article evaluates emerging opportunities in pharmacogenomics, disease risk assessment, and treatment optimization, illustrating how integrated genomic-EHR systems can enhance clinical outcomes. The analysis encompasses technical and organizational considerations, providing insights into implementation strategies, cost implications, and change management approaches. The findings suggest that while substantial obstacles exist, successful genomic-EHR integration can significantly advance personalized medicine, improve clinical decision-making, and enhance patient care. This review concludes with recommendations for healthcare organizations pursuing genomic-EHR integration and identifies key areas for future research and development.
References
M. D. Wang et al., "Integrating Multi-Omics Data With EHR for Precision Medicine Using Advanced Artificial Intelligence," IEEE Reviews in Biomedical Engineering, vol. 99, pp. 1-15, 2023. https://ieeexplore.ieee.org/stampPDF/getPDF.jsp?arnumber=10283869
R. Bhardwaj, A. Sethi, and R. Nambiar, "Big Data in Genomics: An Overview," in Proceedings of the 2014 IEEE International Conference on Big Data (Big Data), 2014, pp. 7004-7009. https://ieeexplore.ieee.org/abstract/document/7004392
S. Thielemans et al., "Experiences with on-premise open source cloud infrastructure with network performance validation," in Proceedings of the 2022 IEEE Industrial Electronics
Society Conference (IECON), 2022, pp. 1-8. https://ieeexplore.ieee.org/document/9968898
K.-C. Wong and M. Li, "Big Data Analytics in Genomics," SpringerLink, 2016, doi: 10.1007/978-3-319-41279-5. https://link.springer.com/book/10.1007/978-3-319-41279-5
D. Kabbani et al., "Pharmacogenomics in practice: a review and implementation guide," Frontiers in Pharmacology, vol. 14, p. 1189976, 2023. https://www.frontiersin.org/journals/pharmacology/articles/10.3389/fphar.2023.1189976/full
M. Yang, D. Huang, H. Zhang, and W. Zheng, "AI-Enabled Precision Medicine: Optimizing Treatment Strategies Through Genomic Data Analysis," Journal of Computer Technology and Applied Mathematics, vol. 1, no. 3, pp. 9718-28, 2023. https://www.suaspress.org/ojs/index.php/JCTAM/article/view/v1n3a10
C. H. Tsai et al., "Effects of Electronic Health Record Implementation and Barriers to Adoption and Use: A Scoping Review and Qualitative Analysis of the Content," Life, vol. 10, no. 12, p. 327, 2020. https://www.mdpi.com/2075-1729/10/12/327
A. E. Loraine and G. A. Helt, "Visualization techniques for genomic data," in Proceedings of the IEEE Computer Society Bioinformatics Conference, 2002, pp. 1039-1044. https://ieeexplore.ieee.org/document/1039354
S. Imran, T. Mahmood, A. Morshed, and T. Sellis, "Big Data Analytics in Healthcare — A Systematic Literature Review and Roadmap for Practical Implementation," IEEE/CAA Journal of Automatica Sinica, vol. 8, no. 1, pp. 1-22, 2021. https://ieee-jas.net/article/doi/10.1109/JAS.2020.1003384?pageType=en
S. Thusini et al., "The development of the concept of return-on-investment from large-scale quality improvement programmes in healthcare: an integrative systematic literature review," BMC Health Services Research, vol. 22, p. 1492, 2022. https://bmchealthservres.biomedcentral.com/articles/10.1186/s12913-022-08832-3
R. Saracco, "2025 Outlook: Healthcare – IEEE Future Directions," IEEE Future Directions Blog, 2021. https://cmte.ieee.org/futuredirections/2021/11/04/2025-outlook-healthcare/
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