As healthcare increasingly digitizes, the adoption of AIOps observability has become essential for IT teams to automatically identify and resolve issues, thereby enhancing patient care. The push towards digital experiences, accelerated by the COVID-19 pandemic, has seen healthcare organizations transition from paper records to electronic health records and further embrace cloud technology for improved efficiency, quality, and security. Despite the benefits, challenges such as system complexity, security threats, and compliance with regulations like HIPAA remain. AIOps, introduced by Gartner in 2016, leverages artificial intelligence to manage IT operations, offering two main approaches: traditional AIOps, which uses machine learning for event correlation, and causal AIOps, which employs deterministic AI for precise root cause analysis. Healthcare organizations, such as Dynatrace customers, have successfully implemented AIOps to ensure continuous care and enhance digital platforms, thereby improving patient and customer experiences. As the industry navigates ongoing complexities, the adoption of modern AIOps observability approaches is critical for driving efficiency, innovation, and better outcomes in patient care.