Transforming Healthcare IT with Cloud Engineering and DevOps Automation
DOI:
https://doi.org/10.64137/3107-9458/ICCSEMTI26-110Keywords:
Healthcare IT, Cloud Engineering, DevOps Automation, HIPAA Compliance, CI/CD, Healthcare Cloud, Digital Health TransformationAbstract
Healthcare IT systems are under growing pressure to meet high security, availability, and compliance standards while offering the best possible patient experience. If your infrastructure is out of date, your apps aren't working effectively, and you have to manually install them, it may be tough to grow, stifling the execution of new ideas, and increasing operational risk. Healthcare firms can no longer depend on old IT procedures. They must implement data-driven care models, digital health platforms, and interoperable electronic health records. Cloud engineering and DevOps automation are two technologies that are currently useful in healthcare IT. Cloud-native designs allow you to easily add and remove resources as required, save money, and expand or shrink. DevOps, on the other hand, use automation, continuous integration and delivery (CI/CD), and infrastructure-like code to accommodate new ideas while ensuring stability. When combined, these technologies speed up app development, improve system dependability, and allow proactive security in line with HIPAA and GDPR, two healthcare-related laws. This article explains how cloud engineering and DevOps automation are changing the way hospital IT teams operate. It explores typical industry difficulties, presents examples of reference designs and automation phases, and investigates DevOps strategies that emphasize security and compliance. The paper offers practical advice and real-world examples for healthcare organizations wishing to continue offering scaled, patient-focused digital services while becoming more robust, adaptable, and legally compliant.
References
[1] Boda, Vishnu Vardhan Reddy. "Running Healthcare Systems Smoothly: DevOps Tips and Tricks You Can Use." International Journal of Emerging Trends in Computer Science and Information Technology 2.3 (2021): 49-59.
[2] Gundaboina, Anjan Kumar. "Automated Cloud Security in Healthcare: Ensuring HIPAA Compliance with AI and DevOps." Journal of Artificial Intelligence & Cloud Computing. SRC/JAICC-461. DOI: doi. org/10.47363/JAICC/2025 (4) 434 (2025): 2-10.
[3] Olatunji, Ekene Titilope. RAPIDLY SCALING DIGITAL TRANSFORMATIONS OF HEALTHCARE SYSTEMS. Diss. 2021.
[4] Lim, Goh Zi Xuan Nicholas. "Next-Generation Cloud Security and Analytics for Healthcare ERP Using Machine Learning and DevOps Automation." International Journal of Engineering & Extended Technologies Research (IJEETR) 4.4 (2022): 5022-5028.
[5] Pendyala, Baba Prasad. "Advancements in Service Automation and Platform Engineering: A Paradigm Shift in Enterprise Cloud Architecting."
[6] Joshi, Nikhil Yogesh. "AI-Driven DevOps Transforming Software Delivery in the Cloud Era for Smart Education." Smart Education and Sustainable Learning Environments in Smart Cities. IGI Global Scientific Publishing, 2025. 43-58.
[7] Babar, Zahir. "A study of business process automation with DevOps: A data-driven approach to agile technical support." American Journal of Advanced Technology and Engineering Solutions 4.04 (2024): 01-32.
[8] Bandari, Vamsikrishna. "Integrating devops with existing healthcare it infrastructure and processes: Challenges and key considerations." Empirical Quests for Management Essences 2.4 (2018): 46-60.
[9] Asad, Fatima, and David Jackson. "The Role of Artificial Intelligence in Modernizing Enterprise Architecture Through Cloud and DevOps." (2024).
[10] Vadde, Bharath Chandra, and DevOps Engineer. "Big Data Analytics: Transforming the Healthcare Industry."
[11] Devadas, Rajeev Samuel. "Transforming Healthcare Through AI-Driven Application Modernization and Hybrid Cloud Architecture." Journal of Computer Science and Technology Studies 7.6 (2025): 629-638.
[12] Mohammad, Sikender Mohsienuddin. "Streamlining DevOps automation for Cloud applications." International Journal of Creative Research Thoughts (IJCRT), ISSN (2018): 2320-2882.
[13] Arockiasamy, Jesu Marcus Immanuvel. "DevOps-Driven Real-Time Health Analytics: A Scalable Framework for Wearable IoT Data." International Journal for Multidisciplinary Research 7 (2025): 10-36948.
[14] Pinto, André Roberto. "Modernizing Healthcare Portals Using AI-Enabled Cloud-Native Microservices and SAP-Based Business Processes." International Journal of Advanced Research in Computer Science & Technology (IJARCST) 8.6 (2025): 13223-13229.
[15] Aslam, Nadia, and David Jackson. "Revolutionizing Enterprise Architecture with AI-Driven Cloud Solutions: Integrating DevOps and DataOps for Scalability." (2024).
[16] Jonnalagadda, R. R., Reddy, K. K., Gunupati, K., Kumar, M., Reddy, P. R. R., & Julakanti, R. (2025, September). Design and Implementation of a Novel AI-Based Cyber Security Architecture for IoT Devices and Networks Using Machine Learning and Big Data Analytics. In 2025 International Conference on Computing and Communications (COMPUTINGCON) (pp. 1-6). IEEE.
[17] PellReddy, R. (2024, November). Ransomware resilience: Proactive measures to prevent and recover from attacks. International Journals of Management, IT & Engineering (IJMIE), 14(11), 63–79. International Journals of Multidisciplinary Research Academy (IJMRA).
[18] Gali, V. K., & Jain, A. (2025). Ethical and regulatory frameworks for deploying generative AI in critical applications. International Journal of Progressive Research in Engineering Management and Science, 5(3), 1372–1382. https://doi.org/10.58257/IJPREMS38964 - 2
[19] Bhavandla, L. K., Gadhiya, Y., Gangani, C. M., & Sakariya, A. B. (2024). Artificial intelligence in cloud compliance and security: A cross-industry perspective. Nanotechnology Perceptions, 20 (S15), 3793-3808.
[20] Vemula, V. R. (2024). Cognitive artificial intelligence systems for proactive threat hunting in AI-driven cloud applications. AVE Trends in Intelligent Computing Systems, 1(3), 173-183.
