Oracle Health builds out clinical AI agent with coding, chart review tools

Oracle Health has enhanced its AI-driven clinical agent to expedite clinical documentation, streamline professional fee coding, and provide relevant patient context. Health systems can now utilize AI-assisted workflows for coding, which are reviewed and confirmed by clinicians before submission. This reduces manual review, rework from errors, and improves coding consistency across organizations, according to Oracle Health.

The AI-powered chart review capability surfacing pertinent clinical information across EHRs and summarizing patient data is another new feature. With clinician-controlled dictation, the AI agent transcribes speech in real-time for immediate review, editing, and finalization. Launched in 2024, the AI solution has already saved physicians over 400,000 hours across the U.S. The AI agents operate as a unified system, employing semantic reasoning to comprehend clinical nuances, share context across workflows, and collaborate in near-real time to facilitate intelligent automation while maintaining clinician control.

Seema Verma, Oracle Health and Life Sciences executive vice president and general manager, emphasized that care teams cannot afford to spend hours on documentation and administrative tasks. With the expansion of AI capabilities directly into clinical and revenue cycle workflows, Oracle Health aims to help healthcare organizations operate more efficiently and enable clinicians to concentrate on delivering high-quality care.

The company's latest update in February enables automated order creation within clinical workflows. Last week, Oracle Health unveiled a revamped patient platform featuring an AI assistant that can explain medical records and assist in appointment scheduling. Additionally, the solution allows patients to pose questions directly within the portal, receiving clear explanations of diagnoses, test results, and treatment options.