Oracle Health Launches AI Tools Across Multiple Workflows

Oracle Health executives believe healthcare is entering an AI-driven phase that will require a fundamental rethink of the technology infrastructure supporting the industry. Rather than adding artificial intelligence to legacy systems, they argue that healthcare needs platforms designed around AI from the outset.

The software firm is positioning its long-standing expertise in databases alongside its cloud infrastructure, access to healthcare data and agentic AI capabilities as it seeks to expand its presence in the sector.

Seema Verma, EVP and GM of Oracle Health and Life Sciences, said healthcare needs artificial intelligence developed specifically around the industry’s requirements rather than generic AI layered onto existing systems.

She emphasized that healthcare AI must be trustworthy and operate with people retaining control over important decisions. Verma also highlighted the importance of prioritizing patient safety through appropriate safeguards and ensuring that AI-generated outputs can be understood, traced and monitored.

Oracle Health is expanding its AI capabilities across a broad range of healthcare operations, including clinical care, payer functions, financial operations, administrative workflows, pharmaceuticals and life sciences. The company said it is already deploying AI products in production environments and is seeing positive results from implementations.

Healthcare providers are facing simultaneous pressure from higher demand for services, workforce shortages, increasing expenses and constrained operating margins. Meanwhile, fragmented data, isolated systems and disconnected workflows remain persistent problems across the industry.

Verma argued that AI-native platforms could provide an opportunity to redesign healthcare infrastructure rather than simply automate existing processes. In her view, placing AI on top of fragmented technology, manual procedures and disconnected data could simply magnify existing inefficiencies instead of resolving them.

She said AI changes the role of the underlying technology itself, meaning healthcare platforms can no longer function solely as systems that store information. Effective AI requires access to a comprehensive view of information spanning clinical care, financial operations, administration and research.

Oracle is therefore building an infrastructure intended to bring together data and applications across the healthcare ecosystem, Verma added. The company’s approach includes its cloud infrastructure and database technology as an AI-ready foundation, alongside clinical trial systems, real-world data, financial and supply-chain applications, human resources technology, claims and administrative systems, and AI-enabled electronic health records.

The company is also embedding AI across areas such as laboratory and pharmacy operations, patient portals and revenue-cycle management, with the goal of creating a more connected technology environment rather than isolated AI applications.

Oracle is not alone in pursuing this strategy. Both the company and EHR rival Epic Systems are working to incorporate generative and agentic AI directly into electronic health record platforms.

Verma said Oracle’s approach differs because the company has rebuilt its EHR and broader healthcare technology platform around an AI-focused system. Rather than adding AI capabilities onto an existing technology stack, Oracle Health is designing the underlying system itself to support AI-driven healthcare workflows.

Speaking on the sidelines of the Oracle Health and Life Sciences Summit, Verma said an AI-native architecture offers particular advantages because artificial intelligence performs most effectively when it can interact directly with healthcare data in real time.

Oracle Health is expanding the use of artificial intelligence across multiple healthcare workflows, with new capabilities designed to support clinical, administrative, and financial operations. The announcements come as healthcare organizations look for ways to reduce manual work while keeping important information connected across systems.

The latest Oracle Health developments include AI capabilities for revenue cycle management, clinical documentation, coding, chart review, nursing workflows, and patient access. These tools are designed to bring AI directly into existing workflows rather than requiring healthcare professionals to move between separate applications.

Oracle Health AI for Clinical Work

Oracle Health has expanded its Clinical AI Agent with capabilities for professional-fee coding, physician dictation, and chart review. The system can analyze clinical information and surface relevant context while supporting documentation and coding activities.