Avaamo Ambient™ introduces Outpatient Orders feature that converts physician-patient conversations directly into EHR commands
Avaamo, a leader in ambient clinical intelligence, announced the launch of Avaamo Ambient: Outpatient Orders, a new feature that automatically generates actionable orders within electronic health record (EHR) systems based on real-time analysis of clinical conversations.
This technology transforms clinical conersations into ready-to-execute orders, reducing administrative burden and allowing healthcare providers to maintain focus on patient care”
— Sriram Chakravarthy, CTO of Avaamo
The technology addresses a significant workflow challenge in healthcare, where clinicians typically spend substantial time after patient encounters manually entering medication orders, scheduling tests, and documenting treatment plans discussed during visits.
“Clinical conversations contain critical information that traditionally requires extensive manual data entry into EHR systems after the patient encounter ends,” said Sriram Chakravarthy, CTO of Avaamo. “This technology transforms clinical conersations into ready-to-execute orders, reducing administrative burden and allowing healthcare providers to maintain focus on patient care.”
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Technology Capabilities
The Outpatient Orders feature utilizes advanced natural language processing to identify and extract clinical decisions from physician-patient conversations. When medications, laboratory tests, or imaging studies are discussed during a consultation, the system automatically surfaces these items within the EHR workflow for clinician review and approval.
According to industry data, approximately 75% of outpatient visits result in at least one medication order, representing significant time spent on administrative tasks following patient encounters.
The system processes clinical conversations through sophisticated contextual analysis, differentiating between casual mentions and actual treatment decisions. Once a consultation concludes, discussed medications and orders appear pre-populated within the EHR interface, ready for clinician verification and execution.
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Healthcare Impact
The technology aims to address several operational challenges in clinical practice:
• Reduction in time spent on post-visit documentation
• Decreased potential for transcription errors between verbal discussions and written orders
• Streamlined workflow integration within existing EHR systems
• Enhanced accuracy in capturing clinical decisions made during patient encounters
Healthcare organizations implementing the technology report improvements in clinical workflow efficiency and reduced administrative overhead for medical staff.
