AI-powered cognitive assistance for complex clinical decision-making in real time
Clinicians must process 13 million medical publications annually while making rapid decisions with incomplete patient data.
12 million Americans are misdiagnosed annually, with 40-80% of diagnoses affected by cognitive biases and heuristics.
Modern medicine involves navigating thousands of potential drug interactions, comorbidities, and individualized treatment protocols.
Medical errors are the third leading cause of death in the US, with over 250,000 deaths annually. Even excellent clinicians can't possibly process all relevant information for every case in the time available.
Multi-agent system that works alongside clinicians to enhance diagnosis and treatment decisions
Builds a comprehensive patient profile by analyzing EHR data, prior visits, lab results, imaging reports, and family history to create a complete clinical picture.
Generates and ranks potential diagnoses based on presenting symptoms, patient history, and latest medical literature while highlighting overlooked possibilities.
Searches medical literature and clinical guidelines in real-time to provide evidence supporting or contradicting diagnostic hypotheses and treatment options.
Analyzes potential treatment options based on diagnosis, patient-specific factors (genetics, comorbidities, medications), and current best practices.
Identifies potential cognitive biases in the diagnostic process and suggests alternative perspectives or additional tests to mitigate these biases.
Increase in diagnostic accuracy for complex cases with support from the clinical decision agent
Reduction in time from initial presentation to appropriate treatment plan implementation
Improvement in favorable patient outcomes for conditions with high diagnostic uncertainty
"For a patient with an unusual presentation of symptoms, the Clinical Decision Support Agent identified a rare condition that wasn't on our radar. The evidence it provided and its ability to connect seemingly unrelated symptoms saved this patient's life. As physicians, we're now empowered to make better decisions with a system that enhances rather than replaces our clinical judgment."
Chief Medical Officer, Leading Academic Medical Center
Request a pilot implementation of our Clinical Decision Support Agent