Automated patient facial image capture to reduce medical error

Autor: Gillam, M., Feied, C., Birchfield, S., Jonathan Handler, Smith, M.
Předmět:
Zdroj: Scopus-Elsevier
Popis: 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.
Databáze: OpenAIRE