RadClerk for Anesthesiology Groups

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Elevate patient safety across your practice

Give your new hires the radiology skills they need to rapidly detect complications and achieve your exacting patient safety standards

Designed for Anesthesiology Groups Like Yours

Practical, Efficient, Impactful

Active Learning is Better

Promote experience with ordering, interpretation, and collaboration with radiologists

AI Drives Faster Learning

Deliver immediate feedback on cases that matter with our best-in-class radiology AI

Build Your Dream Team

Elevate the capabilities of your existing staff and boost group morale, rather than competing for expensive outside talent

Benefits for Your enterprise

Optimize Your Metrics

Train your non-radiology staff in best practices for image ordering to reduce time to treatment

Benefits for Your enterprise

Reduce Adverse Events

More eyes to detect critical findings equals fewer errors in patient care

Benefits for Your enterprise

Support Remote Learning

Reach your students wherever they’re physically located

Benefits for Your enterprise

Enhance Your
Company
Brand

Build your RadClerk education initiative into your patient-focused marketing campaign

How Anesthesiology Groups Use RadClerk

Support Your Patient Outcome Goals

New Employee Onboarding

Prepare new clinical staff to resonate with your high standards for care

Reduce Adverse Events

Train more of your staff to detect critical events on imaging

Elevate Outcomes

Use education to maximize your patient outcomes

Choose Topics That Reduce Enterprise Risk

Tailor your organization’s learning pathway to your specific goals for the enterprise. Click on a rotation to learn more.

Act rapidly on pulmonary emergencies.

Start healing broken bones faster.

Survive your worst neuro day ever.

Discover PE and aortic dissection.

Master acute abdominal pain.

Finalize your bone density assessments.

Learn actionable bedside findings

CASE STUDY

Meet
Carina Yang
MD

Dr. Yang, an MIT-trained neuroradiologist from the University of Chicago School of Medicine, shares her inspirational story on exploring AI-powered radiology education.

Frequently Asked Questions