Literature DB >> 17238548

Automated patient facial image capture to reduce medical error.

Michael Gillam1, Craig Feied, Stan Birchfield, Jonathan Handler, Mark Smith.   

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.

Entities:  

Mesh:

Year:  2006        PMID: 17238548      PMCID: PMC1839287     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  6 in total

1.  Reporting of near-miss events for transfusion medicine: improving transfusion safety.

Authors:  J L Callum; H S Kaplan; L L Merkley; P H Pinkerton; B Rabin Fastman; R A Romans; A S Coovadia; M D Reis
Journal:  Transfusion       Date:  2001-10       Impact factor: 3.157

2.  An automated patient recognition method based on an image-matching technique using previous chest radiographs in the picture archiving and communication system environment.

Authors:  J Morishita; S Katsuragawa; K Kondo; K Doi
Journal:  Med Phys       Date:  2001-06       Impact factor: 4.071

3.  Ten years of latrogenic intoxications from the Spanish poison control center.

Authors:  Salomé Ballesteros; Fátima Ramón; Rosa Martínez-Arrieta; Carmen Larrotcha; José Cabrera
Journal:  Vet Hum Toxicol       Date:  2003-03

4.  Monitoring the accuracy of a PACS image database.

Authors:  Maria Elissa Blado; Abigail Tomlinson
Journal:  J Digit Imaging       Date:  2002-03-21       Impact factor: 4.056

5.  Occurrence of dispensing errors and efforts to reduce medication errors at the Central Arkansas Veteran's Healthcare System.

Authors:  Philip Rolland
Journal:  Drug Saf       Date:  2004       Impact factor: 5.606

6.  Common types of medication errors on long-term psychiatric care units.

Authors:  Hiroto Ito; Syun Yamazumi
Journal:  Int J Qual Health Care       Date:  2003-06       Impact factor: 2.038

  6 in total
  1 in total

1.  Real-time location and inpatient care systems based on passive RFID.

Authors:  Pablo Najera; Javier Lopez; Rodrigo Roman
Journal:  J Netw Comput Appl       Date:  2010-05-10       Impact factor: 6.281

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.