Claire asks the questions, so doctors can focus on the answers.
Meet the LLM-driven virtual medical assistant that gathers patient history through natural voice or text interactions, connects relevant health and wearable data, and prepares structured H&P notes so care teams can spend less time collecting information and more time caring for patients.
Integrate longitudinal FHIR records and real-time wearable metrics into one continuous stream which gives Claire a complete clinical picture before the patient ever speaks.
Engages patients via voice or text prior to their appointments to conduct structured interviews, gather medical history, and document symptoms.
Automatically generates comprehensive, structured History & Physical (H&P) notes and clinical risk scores for healthcare providers before the patient arrives.
Integrates multi-modal data including structured EHR data and real-time information from wearables and biosensors to tailor its interactions and provide personalized recommendations.
Draws on all available patient data to shape each assessment, following established clinical guidelines like AASLD standards.
Acts as an assistant to facilitate human-centered care, designed to connect patients to human doctors faster.
HIPAA-compliant and SOC2-certified, AWS security infrastructure, including encryption at rest and in transit, out-of-band PHI delivery.