Oracle Health has announced the U.S. availability of expanded capabilities for its Oracle Health Clinical AI Agent, introducing automated professional fee coding, real-time clinician-controlled dictation, and AI-assisted chart review directly into clinical and revenue cycle workflows. Building on its ambient documentation foundation which has saved physicians over 400,000 hours since launch, the system uses semantic reasoning to analyze patient visit conversations and automatically suggest professional fee charge codes within the orders workflow for clinician review prior to submission. That targeted automation Really cuts down on charge capture time, lessens manual labor due to incompleteness of records and improves coding throughout the organization. Also, the new platform features real-time conversion of speech to text in any field which helps get accurate notes, it also retrieves the patient’s information from many sources like medical history, lab tests, and active medications within the patient medical record and shows relevant patient information during pre-encounter chart reviews to make those steps much smoother.
Also Read: Oracle Health Launches AI-Powered Patient Portal to Elevate Engagement
Addressing the urgency of reducing health system administrative friction, Seema Verma, executive vice president and general manager, Oracle Health and Life Sciences, stated: “Care teams can’t afford to spend hours on documentation and administrative tasks. With our expanding portfolio of AI capabilities embedded directly into clinical and revenue cycle workflows, we’re helping healthcare organizations operate more efficiently while enabling clinicians to stay focused on delivering high-quality care.” Oracle Health gives healthcare providers a flexible clinician-in-the-loop structure through combining multi-agent technologies with clinical documentation and revenue cycle intelligence into one system. The system not only enhances operational efficiency but also ensures that personal patient care remains at the forefront.