Real-Time Person Identification in a Hospital Setting: A Systematic Review

Heleen M. Essink; Armelle Knops; Amber M.A. Liqui Lung; C. Nienke van der Meulen; Nino L. Wouters; Aart J. van der Molen; Wouter J.H. Veldkamp; M. Frank Termaat

doi:10.3390/s20143937

Sensors (Jul 2020)

Real-Time Person Identification in a Hospital Setting: A Systematic Review

Heleen M. Essink,
Armelle Knops,
Amber M.A. Liqui Lung,
C. Nienke van der Meulen,
Nino L. Wouters,
Aart J. van der Molen,
Wouter J.H. Veldkamp,
M. Frank Termaat

Affiliations

Heleen M. Essink: Department of Clinical Technology, Faculty of Mechanical, Maritime and Materials Engineering (3Me), Delft University of Technology, Mekelweg 2, 2628 CD Delft, The Netherlands
Armelle Knops: Department of Clinical Technology, Faculty of Mechanical, Maritime and Materials Engineering (3Me), Delft University of Technology, Mekelweg 2, 2628 CD Delft, The Netherlands
Amber M.A. Liqui Lung: Department of Clinical Technology, Faculty of Mechanical, Maritime and Materials Engineering (3Me), Delft University of Technology, Mekelweg 2, 2628 CD Delft, The Netherlands
C. Nienke van der Meulen: Department of Clinical Technology, Faculty of Mechanical, Maritime and Materials Engineering (3Me), Delft University of Technology, Mekelweg 2, 2628 CD Delft, The Netherlands
Nino L. Wouters: Department of Clinical Technology, Faculty of Mechanical, Maritime and Materials Engineering (3Me), Delft University of Technology, Mekelweg 2, 2628 CD Delft, The Netherlands
Aart J. van der Molen: Department of Radiology, Albinusdreef 2, NL-2333 ZA Leiden, The Netherlands
Wouter J.H. Veldkamp: Department of Radiology, Albinusdreef 2, NL-2333 ZA Leiden, The Netherlands
M. Frank Termaat: Department of Surgery, Albinusdreef 2, NL-2333 ZA Leiden, The Netherlands

DOI: https://doi.org/10.3390/s20143937
Journal volume & issue: Vol. 20, no. 14
p. 3937

Abstract

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In the critical setting of a trauma team activation, team composition is crucial information that should be accessible at a glance. This calls for a technological solution, which are widely available, that allows access to the whereabouts of personnel. This diversity presents decision makers and users with many choices and considerations. The aim of this review is to give a comprehensive overview of available real-time person identification techniques and their respective characteristics. A systematic literature review was performed to create an overview of identification techniques that have been tested in medical settings or already have been implemented in clinical practice. These techniques have been investigated on a total of seven characteristics: costs, usability, accuracy, response time, hygiene, privacy, and user safety. The search was performed on 11 May 2020 in PubMed and the Web of Science Core Collection. PubMed and Web of Science yielded a total n = 265 and n = 228 records, respectively. The review process resulted in n = 23 included records. A total of seven techniques were identified: (a) active and (b) passive Radio-Frequency Identification (RFID) based systems, (c) fingerprint, (d) iris, and (e) facial identification systems and infrared (IR) (f) and ultrasound (US) (g) based systems. Active RFID was largely documented in the included literature. Only a few could be found about the passive systems. Biometric (c, d, and e) technologies were described in a variety of applications. IR and US techniques appeared to be a niche, as they were only spoken of in few (n = 3) studies.

Published in Sensors

ISSN: 1424-8220 (Online)
Publisher: MDPI AG
Country of publisher: Switzerland
LCC subjects: Technology: Chemical technology
Website: http://www.mdpi.com/journal/sensors

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