DEVOPS AND AI FOR PREDICTIVE MAINTENANCE IN HEALTHCARE IT INFRASTRUCTURE

Authors

  • Sidhartha Velishala Sr Engineer – DevOps and Observability, Humana Inc, USA Author

Keywords:

DevOps, AI, Predictive, IT

Abstract

The research proposes a study of healthcare IT structures implementing AI-Predictive Maintenance with DevOps Implementation because of limited downtime, workload reliability, and cost. Through the use of cases and a review of real-world applications, the study outlines how the AI algorithms flag areas of failure for correction before they occur and the role of DevOps in enhancing teamwork and automation in the maintenance process. The results show that various positive impacts include; the boost of the system performance, the decrease of operational costs, and the overall better patient care results. Still, based on the findings of the research like the issue of high initial investments and regulatory challenges, embracing AI and utilizing DevOps will create value in protecting and enhancing the resiliency and effectiveness of healthcare IT environments.

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Published

2025-01-28

How to Cite

Sidhartha Velishala. (2025). DEVOPS AND AI FOR PREDICTIVE MAINTENANCE IN HEALTHCARE IT INFRASTRUCTURE. INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING AND TECHNOLOGY, 16(01), 1443-1462. https://ijcet.in/index.php/ijcet/article/view/293