Related Experiment Video
Updated: Jul 17, 2026

07:46
Automatic Surgery in Transcatheter Aortic Valve Replacement Using Augmented Reality
Published on: August 9, 2024
Automated patient facial image capture to reduce medical error
Michael Gillam1, Craig Feied, Stan Birchfield
1Medical Media Lab: National Institute for Medical Informatics, MedStar Health, Washington, DC, USA.
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|January 24, 2007
Abstract:
The authors describe their experiences creating technology to automatically capture facial images from patients during triage and registration for integration into the electronic medical record (EMR) to reduce data retrieval and data entry errors. The prototype system was tested across a variety of ethnicities with facial images captured successfully in 100% of cases with a median time to capture of 0.75 seconds.
