Document, reason, and act — with AI that understands clinical context, workflows, and compliance.
Understands patient context, history, and guidelines to support complex decisions at the point of care.
Generates structured notes, ICD-10 coding, and encounter summaries in real time.
Initiates orders, referrals, and follow-ups directly within existing clinical workflows.
Summarizes patient history, labs, medications, and conditions across all encounters.
Drafts SOAP notes and encounter summaries ready for clinician review and signature.
Suggests ICD-10, CPT, and billing codes with supporting evidence.
Recommends labs, imaging, and prescriptions aligned to clinical guidelines.
Four coordinated steps from raw patient data to a clinician-approved action.
FHIR data, clinical notes, lab results, device readings, and prior encounters are unified.
LLMs + HealthCloud knowledge graph + clinical rules engines work in concert.
Structured summaries, diagnostic insights, and suggested clinical actions surface.
Clinician approves, modifies, or rejects every action — the AI never acts alone.
Ask questions naturally about patients, care plans, and treatment options.
Surface relevant insights without switching screens or breaking clinical flow.
One-click execution for order labs, generate note, and schedule follow-up.
Every layer of the AI Clinical Assistant is designed for regulated, auditable healthcare environments.
No action is executed without explicit clinician approval — every suggestion is advisory.
Every AI interaction and clinical decision is logged with timestamps and user attribution.
Designed to support FDA Software as a Medical Device regulatory pathways.
Aligns with institutional clinical guidelines, formularies, and evidence-based protocols.
Reduce documentation burden by 40% and improve visit efficiency for PCPs.
Support complex decision-making with AI-synthesized insights from multi-specialty data.
Enhance virtual visits with real-time assistance surfaced directly in the video interface.
Natively connected to the systems your clinicians already use.
The AI Clinical Assistant doesn't just process text — it reasons over a structured graph of clinical knowledge.
Unified longitudinal view of conditions, labs, medications, devices, and encounter history.
SNOMED CT, LOINC, RxNorm, and ICD-10 natively integrated for precise clinical reasoning.
AI grounded in structured clinical knowledge — not generic language model outputs.
From documentation to decision support — built for real-world healthcare.