Oracle is embedding artificial intelligence agents directly into clinical workflows, revenue cycle management, and life sciences - not as a future concept, but as live products already reducing documentation time and changing how health systems operate. Seema Verma, general manager of Oracle Health and Life Sciences, detailed the company's progress during her opening keynote at the 2026 Oracle Health and Life Sciences Summit in Orlando on Wednesday, framing the moves as a response to workforce shortages and unsustainable cost pressures across healthcare.
"For years, healthcare technology has promised transformation," Verma said. "And this year, I don't want to talk to you about promises. I want to show you proof. Our new products are live, and they're making an impact."
AI agents target clinical and administrative friction
The new agents address nursing, discharge planning, care coordination, prior authorization, and other clinical workflows. Verma stressed that the goal is not to layer automation onto broken processes. "It is to redesign our processes across the entire health ecosystem by connecting clinical, financial, research, clinical trials, claims data with analytics and AI," she said.
On the business side, Oracle launched revenue cycle management agents built on the same principle. "We can automate routine transactions and reserve human attention for decisions that require judgment. So, this isn't faster bureaucracy; it's less bureaucracy," Verma said. Oracle also plans to pilot clinical trial automation software inside its electronic health record later this year, while new EHR agents and a pharmacy system for specialties like oncology aim to bring intelligence closer to treatment decisions.
Kreg Gruber, CEO of Beacon Health, told attendees that the health system's physicians report meaningful gains from Oracle's AI-driven documentation tools. Experienced doctors who previously struggled with documentation now spend less time on notes, and their clinical teams have an easier time following up with patients.
A single codebase and the data problem
Mike Sicilia, Oracle's CEO, pointed to a structural choice that separates the company's approach: whether a customer uses Oracle's standalone AI-driven EHR released last year or individual AI modules on the existing Millennium EHR, the system runs on one global codebase. Metadata handles language, regulatory compliance, and feature availability. "This means that the entire world can run the same cloud version that's always self-improving, it's always compliant, and it's always secure," Sicilia said.
Data fragmentation remains the central obstacle. Verma described scattered information across disconnected systems as the barrier between healthcare and AI that is useful enough to meet delivery demands. Oracle is launching a pilot with the Children's Hospital of Philadelphia to offer image exchange on its network, aiming to create a single secure connection to patient information across the ecosystem. The Oracle Health Research Network, which pools more than 130 million complete medical records with claims, genomic, pathogen, and prescription data, will now give contributing organizations access to Oracle's latest AI research tools to interrogate their own data and benchmark against other facilities.
Trust and the provider relationship
Sicilia addressed trust directly, calling safety and security "table stakes" for any AI released to the public. He then drew a line that matters for clinical and operational teams alike. "This is a human connection business," he said. "We are not here to replace providers. We are here to help providers practice at the top of their license."
Later this year, Oracle will begin customer testing of a multi-EHR portal spanning pharmacy, radiology, behavioral health, primary care, and other modules. The portal will let patients access and act on their medical records regardless of the underlying EHR system.
Why this matters for customer support, healthcare, and operations professionals
The announcements signal a shift from AI as a documentation add-on to AI as a workflow redesign tool that touches prior authorization, discharge planning, and revenue cycle management - the processes that directly affect how support and operations teams spend their days. For professionals managing patient access, billing inquiries, or care coordination, the move toward automated routine transactions means fewer manual handoffs and less time chasing information across systems. Organizations evaluating these tools will need staff who understand how to work alongside AI agents and how to spot when a redesigned process is creating new bottlenecks. Building that fluency often starts with targeted training on AI agents and automation in operational contexts. The multi-EHR portal pilot also carries practical implications: if successful, it reduces the friction support teams face when patients call with records spread across different platforms, cutting down the reconciliation work that currently falls to humans.
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