title: Automated patient facial image capture to reduce medical error.
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.
authors.affiliation: Medical Media Lab: National Institute for Medical Informatics, MedStar Health, Washington, DC, USA.
authors.forename: Michael
authors.initials: M
authors.lastname: Gillam
authors.forename: Craig
authors.initials: C
authors.lastname: Feied
authors.forename: Stan
authors.initials: S
authors.lastname: Birchfield
authors.forename: Jonathan
authors.initials: J
authors.lastname: Handler
authors.forename: Mark
authors.initials: M
authors.lastname: Smith
mesh_terms: D000328:Adult; D005145:Face / Q000033:anatomy & histology*; D006801:Humans; D007091:Image Processing, Computer-Assisted; D019300:Medical Errors / Q000517:prevention & control; D016347:Medical Records Systems, Computerized; D008875:Middle Aged