Oracle Health Adds Order Creation Capabilities to Clinical AI Agent
The enhancement uses ambient listening technology during clinical encounters to draft clinical orders, helping reduce administrative burden on healthcare providers.
Oracle Health has added automated order creation capabilities to its Oracle Health Clinical AI Agent in the United States, expanding the tool’s functionality beyond clinical note generation to support the creation of complete and accurate patient records.
The enhancement uses ambient listening technology during clinical encounters to draft clinical orders, helping reduce administrative burden on healthcare providers.
The updated Clinical AI Agent can draft a range of clinical orders, including laboratory tests, imaging and diagnostic studies, new and refilled prescription medications, and follow-up appointments. Oracle Health said the feature is designed to allow clinicians to review and approve suggested orders, rather than manually entering them, enabling physicians to spend more time focused on patient interactions.
Healthcare providers continue to face high levels of administrative workload due to repetitive manual tasks such as order entry for medications, labs, and referrals. These tasks often divert clinicians’ attention away from direct patient care. Oracle Health stated that the Clinical AI Agent addresses this challenge by analyzing conversations between patients and providers and identifying clinician-directed next steps in care.
The order creation capability relies on advanced reasoning that evaluates multiple contextual inputs, including prior order activity, patient order history, physician ordering preferences, and organizational ordering standards. This approach is intended to support contextually appropriate order drafting while maintaining clinical accuracy.
According to Oracle Health, the Clinical AI Agent does not rely solely on text interpretation. Instead, it applies semantic reasoning to understand clinical context and meaning, allowing the system to execute tasks with greater precision. The agents operate collaboratively, sharing contextual information and working together in near real time to improve efficiency and support process automation within clinical workflows.
Commenting on the update, Seema Verma, executive vice president and general manager of Oracle Health and Life Sciences, said the new order creation functionality builds on the company’s broader effort to use artificial intelligence across healthcare operations. She noted that the focus includes reducing administrative burden, addressing clinician burnout, and supporting more efficient care delivery.
Oracle Health reported that, in just over a year since its launch in the US, the Clinical AI Agent has already saved physicians more than 200,000 hours of documentation time. The company positioned the latest enhancement as part of its continued development of AI-enabled clinical tools intended to support providers at the point of care.
The expanded order creation functionality is now available as part of Oracle Health Clinical AI Agent in the US, further extending the platform’s role in clinical documentation and workflow support.
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