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Clinician copilot

AI Clinical Assistance

Decision support and documentation that lives inside the clinician's existing workflow.

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Overview

AI Clinical Assistance gives clinicians a copilot for the work that surrounds the work — summarizing long charts, retrieving relevant evidence, drafting documentation, and triaging medical imaging so attention stays on the patient.

Every suggestion is grounded, auditable, and human-in-the-loop. The clinician remains the decision-maker; the system removes the friction around the decision.

Outcomes

  • Less time on documentation
  • Decision support grounded in evidence
  • More attention on the patient
AI Clinical Assistance, rendered visual

Capabilities

What AI Clinical Assistance does.

  • Chart summarization

    Long histories distilled into the few things that matter for this encounter.

  • Imaging triage

    Computer vision flags candidate regions in scans and ranks them by priority.

  • Evidence retrieval

    Relevant guidelines and references surfaced in context.

  • Ambient documentation

    Draft notes generated from the encounter for the clinician to review.

How it works

From integration to impact.

  1. STEP 01

    Observe

    The copilot reads the chart, prior imaging, and the live encounter context — read-only by default.

  2. STEP 02

    Assist

    It summarizes, retrieves evidence, flags imaging regions, and drafts documentation.

  3. STEP 03

    Confirm

    The clinician reviews and accepts. Nothing enters the record without a human in the loop.

See it in motion

AI triage on a live medical image.

Our vision models triage imaging in seconds, surfacing candidate regions, ranking them by priority, and handing the clinician a head start. Hover a detection to inspect it.

Ready

AI findings

  • 94

    Pulmonary nodule

    Right upper lobe · high priority

  • 87

    Ground-glass opacity

    Left lower lobe · moderate priority

  • 71

    Trace pleural effusion

    Left costophrenic angle · low priority

FAQ

Common questions.

Does the AI make diagnoses?
No. It triages, summarizes, and surfaces evidence to support the clinician. Every clinical decision stays with the clinician.
How does it avoid hallucinations?
Outputs are grounded in the patient's own record and retrieved sources, with citations the clinician can verify in one click.
Where does it fit in the workflow?
It is embedded in the tools clinicians already use, so there is no extra tab or context-switch.

Explore the rest of the suite

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