Clinician copilot
AI Clinical Assistance
Decision support and documentation that lives inside the clinician's existing workflow.
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
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.
- STEP 01
Observe
The copilot reads the chart, prior imaging, and the live encounter context — read-only by default.
- STEP 02
Assist
It summarizes, retrieves evidence, flags imaging regions, and drafts documentation.
- 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.
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.