Modernizing Healthcare Portals Using AI-Enabled Cloud-Native Microservices and SAP-Based Business Processes
DOI:
https://doi.org/10.15662/IJARCST.2025.0806020Keywords:
Cloud-native microservices, Healthcare portal modernization, Artificial intelligence, SAP integration, Continuous delivery, Container orchestration, Enterprise healthcare systemsAbstract
Healthcare organizations are increasingly modernizing legacy portals to improve scalability, interoperability, and user experience while meeting stringent regulatory and operational requirements. This paper presents an AI-enabled cloud-native microservices architecture for healthcare portal modernization with seamless SAP integration. The proposed architecture leverages containerization, service orchestration, and continuous delivery pipelines to enable modular development, rapid deployment, and resilient operations. Artificial intelligence components are integrated for intelligent monitoring, anomaly detection, predictive resource management, and personalized healthcare services. SAP systems are incorporated through secure APIs and event-driven integration patterns to support enterprise workflows, billing, and clinical operations. The architecture enhances system availability, performance, and maintainability while enabling real-time data processing and analytics. Experimental evaluation demonstrates improved deployment efficiency, fault isolation, and operational visibility compared to monolithic architectures, making the approach suitable for large-scale healthcare enterprises.
References
1. Bass, L., Clements, P., & Kazman, R. (2012). Software architecture in practice (3rd ed.). Addison-Wesley.
2. Kavuru, L. T. (2025). Invisible Hands: The Rise of Unseen AI Partners in Remote Project Decision Loops. International Journal of Research and Applied Innovations, 8(5), 13006-13014.
3. Navandar, P. (2023). Guarding Networks: Understanding the Intrusion Detection System (IDS). Journal of biosensors and bioelectronics research. https://d1wqtxts1xzle7.cloudfront.net/125806939/20231119-libre.pdf?1766259308=&response-content-disposition=inline%3B+filename%3DGuarding_Networks_Understanding_the_Intr.pdf&Expires=1767147182&Signature=H9aJ73csgfALZ~2B89oBRyYgz57iuooJUU0zKPdjpmQjunvziuvJjd~r8gYT52Ah6RozX-LUpFB14VO8yjXrVD73j1HN9DAMi1PSGKaRbcI8gBbrnFQQGOhTO7VYkGcz3ylDLZJatGabbl5ASNiqe0kINjsw6op5mJzXUoWLZkmret8YBzR1b6Ai8j4SCuZ2kc75dAfryQSZDKuv9ISFi9oHyMxEwWKkyNDnnDP~0EW3dBp7qmwPJVbnm7wSQFFU9AUx5o3T742k80q8ZxvS8M-63TZkyb5I3oq6zBUOCVgK471hm2K9gYtYPrwePdoeEP5P4WmIBxeygrqYViN9nw__&Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA
4. Kumar, S. S. (2024). Cybersecure Cloud AI Banking Platform for Financial Forecasting and Analytics in Healthcare Systems. International Journal of Humanities and Information Technology, 6(04), 54-59.
5. Humble, J., & Farley, D. (2010). Continuous delivery: Reliable software releases through build, test, and deployment automation. Addison-Wesley.
6. Thambireddy, S. (2021). Enhancing Warehouse Productivity through SAP Integration with Multi-Model RF Guns. International Journal of Computer Technology and Electronics Communication, 4(6), 4297-4303.
7. Sivaraju, P. S. (2023). Global Network Migrations & IPv4 Externalization: Balancing Scalability, Security, and Risk in Large-Scale Deployments. ISCSITR-INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS (ISCSITR-IJCA), 4(1), 7-34.
8. Mell, P., & Grance, T. (2011). The NIST definition of cloud computing (NIST Special Publication 800-145). National Institute of Standards and Technology.
9. Kagalkar, A., Sharma, A., Chaudhri, B., & Kabade, S. (2024). AI-Powered Pension Ecosystems: Transforming Claims, Payments, and Member Services. International Journal of AI, BigData, Computational and Management Studies, 5(4), 145-150.
10. Meka, S. (2023). Empowering Members: Launching Risk-Aware Overdraft Systems to Enhance Financial Resilience. International Journal of Engineering & Extended Technologies Research (IJEETR), 5(6), 7517-7525.
11. Bussu, V. R. R. (2024). End-to-End Architecture and Implementation of a Unified Lakehouse Platform for Multi-ERP Data Integration using Azure Data Lake and the Databricks Lakehouse Governance Framework. International Journal of Computer Technology and Electronics Communication, 7(4), 9128-9136.
12. Paul, D., Sudharsanam, S. R., & Surampudi, Y. (2021). Implementing Continuous Integration and Continuous Deployment Pipelines in Hybrid Cloud Environments: Challenges and Solutions. Journal of Science & Technology, 2(1), 275-318.
13. Rayala, R. V., Borra, C. R., Pareek, P. K., & Cheekati, S. (2024, November). Hybrid Optimized Intrusion Detection System Using Auto-Encoder and Extreme Learning Machine for Enhanced Network Security. In 2024 International Conference on Recent Advances in Science and Engineering Technology (ICRASET) (pp. 1-7). IEEE.
14. Kumar, R. K. (2024). Real-time GenAI neural LDDR optimization on secure Apache–SAP HANA cloud for clinical and risk intelligence. IJEETR, 8737–8743. https://doi.org/10.15662/IJEETR.2024.0605006
15. Kasaram, C. R. (2023). Harnessing Asynchronous Patterns with Event Driven Kafka and Microservices Architectures. Journal of Artificial Intelligence & Cloud Computing, 2(4), 1-4.
16. Rajurkar, P. (2020). Predictive Analytics for Reducing Title V Deviations in Chemical Manufacturing. International Journal of Technology, Management and Humanities, 6(01-02), 7-18.
17. Sridhar Reddy Kakulavaram, Praveen Kumar Kanumarlapudi, Sudhakara Reddy Peram. (2024). Performance Metrics and Defect Rate Prediction Using Gaussian Process Regression and Multilayer Perceptron. International Journal of Information Technology and Management Information Systems (IJITMIS), 15(1), 37-53.
18. Adepu, R. (2025). Morphic Cryptographic Orchestration and Tokenization Strategies for Advanced Cyber Defense. International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 8(1), 542-551.
19. Kandula, S. T. R. (2025, July). Comparison and Performance Assessment of Intelligent ML Models for Forecasting Cardiovascular Disease Risks in Healthcare. In 2025 International Conference on Sensors and Related Networks (SENNET) Special Focus on Digital Healthcare (64220) (pp. 1-6). IEEE.
20. Kavuri, S. (2023). Machine learning approaches for security vulnerability detection in software testing. Computer Fraud & Security, 21-31.
21. Shewale, V. (2024). Generative AI Threats and SEC Cyber Disclosure Readiness for Energy Sector CISOs. International Journal of Research and Applied Innovations, 7(5), 11504-11509.
22. Parasa, M. (2021). Encryption-aware data integrity and quality controls in SAP SuccessFactors integrations using machine learning and cryptographic hash chains for tamper detection. International Journal of Computer Technology and Electronics Communication, 4(6), 4304–4316. https://doi.org/10.15680/IJCTECE.2021.0406014
23. Subramanyam, S. P. (2024). Advanced role-based access control models for Azure DevOps and CyberArk integration. International Journal of Advanced Engineering Science and Information Technology, 7(3), 14069–14076. https://doi.org/10.15662/IJAESIT.2024.0703004
24. Karnam, V. S. (2025). Leveraging Intelligent Predictive Analytics Using AI in Cloud-Based Safety and Security Operations for Transforming Disaster and Emergency Management Response. Journal of Computer Science and Technology Studies, 7(7), 660-667.
25. Pothuri, M. K. (2025). Next-Gen Business Intelligence in Financial Services-Transforming Financial Efficiency with AI-Driven BI, Integration of AI/ML with BI tools. IJSAT-International Journal on Science and Technology, 16(4).
26. Panyala, V. R. (2021). Designing fault-tolerant distributed systems for high-availability consumer internet platforms. International Journal of Research Publications in Engineering, Technology and Management, 4(6), 11–22.
27. Kotla, M. R. T. (2025). Enterprise integration lessons from four digital frontlines: A comparative analysis of modern IT ecosystems. International Journal of Research Publications in Engineering, Technology and Management, 8(3), 32–42.
28. Narayanan, S. (2024). Third-party AI vendor risk: Developing assessment frameworks for machine learning service providers. International Journal of Computer Science and Engineering and Information Technology, 10(4), 1133–1142. https://philarchive.org/archive/NARTAV
29. Sarabu, V. B. (2025). Enterprise-scale data architecture for global migrations: Ensuring financial integrity and operational continuity. International Journal of Future Innovative Science and Technology (IJFIST), 8(6), 154.
30. Vayyasi, N. K. (2024). An AI-driven adaptive optimization framework for enhancing communication throughput in computer networks. International Journal of Engineering & Extended Technologies Research (IJEETR), 6(6), 9244–9256.
31. Bandaru, N. (2025). Architecting Compliance Ready Artificial Intelligence for Regulated Digital Systems. International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 8(4), 12463-12471.
32. Prasad, P. K. (2017). Hybrid cloud: The pragmatic path to infrastructure modernization. International Journal of Humanities and Information Technology, 2(02), 16-25.
33. Adepu, G. (2024). Explainable AI Frameworks for Transparent Healthcare Reimbursement and Policy Compliance Systems. International Journal of Research and Applied Innovations, 7(5), 11490-11494.
34. Kumar, S. N. P. (2022). Text Classification: A Comprehensive Survey of Methods, Applications, and Future Directions. International Journal of Technology, Management and Humanities, 8(3), 39–49. https://ijtmh.com/index.php/ijtmh/article/view/227/222
35. Gopalan, R., & Chandramohan, A. (2018). A study on Challenges Faced by It organizations in Business Process Improvement in Chennai. Indian Journal of Public Health Research & Development, 9(1), 337-341.
36. Devineni, A. (2025). Cognitive Load Reduction in On-Call Rotations via Predictive Alert Severity Scoring Using Machine Learning in Financial Cloud Operations. International Journal of Artificial Intelligence, Data Science, and Machine Learning, 6(1), 268-273.
37. Kumar, A., Anand, L., & Kannur, A. (2024, November). Optimized Learning Model for Brain-Computer Interface Using Electroencephalogram (EEG) for Neuroprosthetics Robotic Arm Design for Society 5.0. In 2024 International Conference on Computing, Semiconductor, Mechatronics, Intelligent Systems and Communications (COSMIC) (pp. 30-35). IEEE.
38. Adari, V. K. (2021). Building trust in AI-first banking: Ethical models, explainability, and responsible governance. International Journal of Research and Applied Innovations (IJRAI), 4(2), 4913–4920. https://doi.org/10.15662/IJRAI.2021.0402004
39. Chukkala, R. (2025). Unified Smart Home Control: AI-Driven Hybrid Mobile Applications for Network and Entertainment Management. Journal of Computer Science and Technology Studies, 7(2), 604-611.
40. Islam, M. M., & Zerine, I. (2025). Leveraging predictive analytics and Machine learning to optimize US Small Business resilience and Economic Growth. International Journal of Advances in Engineering and Management, 7(2), 10-35629.
41. Gamma, E., Helm, R., Johnson, R., & Vlissides, J. (1994). Design patterns: Elements of reusable object-oriented software. Addison-Wesley.
