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

Tytuł:: Real-Time Person Identification in a Hospital Setting: A Systematic Review.
Autorzy:: Essink HM; Department of Clinical Technology, Faculty of Mechanical, Maritime and Materials Engineering (3Me), Delft University of Technology, Mekelweg 2, 2628 CD Delft, The Netherlands.
Knops A; Department of Clinical Technology, Faculty of Mechanical, Maritime and Materials Engineering (3Me), Delft University of Technology, Mekelweg 2, 2628 CD Delft, The Netherlands.
Liqui Lung AMA; Department of Clinical Technology, Faculty of Mechanical, Maritime and Materials Engineering (3Me), Delft University of Technology, Mekelweg 2, 2628 CD Delft, The Netherlands.
van der Meulen CN; Department of Clinical Technology, Faculty of Mechanical, Maritime and Materials Engineering (3Me), Delft University of Technology, Mekelweg 2, 2628 CD Delft, The Netherlands.
Wouters NL; Department of Clinical Technology, Faculty of Mechanical, Maritime and Materials Engineering (3Me), Delft University of Technology, Mekelweg 2, 2628 CD Delft, The Netherlands.
van der Molen AJ; Department of Radiology, Albinusdreef 2, NL-2333 ZA Leiden, The Netherlands.
Veldkamp WJH; Department of Radiology, Albinusdreef 2, NL-2333 ZA Leiden, The Netherlands.
Termaat MF; Department of Surgery, Albinusdreef 2, NL-2333 ZA Leiden, The Netherlands.
Źródło:: Sensors (Basel, Switzerland) [Sensors (Basel)] 2020 Jul 15; Vol. 20 (14). Date of Electronic Publication: 2020 Jul 15.
Typ publikacji:: Journal Article; Systematic Review
Język:: English
Imprint Name(s):: Original Publication: Basel, Switzerland : MDPI, c2000-
MeSH Terms:: Biometry*
Radio Frequency Identification Device*
Hospitals ; Humans ; Personnel, Hospital ; Trauma Centers
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Contributed Indexing:: Keywords: RFID; biometric identification; healthcare; hospital; real-time person identification
Entry Date(s):: Date Created: 20200719 Date Completed: 20210301 Latest Revision: 20210301
Update Code:: 20240105
PubMed Central ID:: PMC7411609
DOI:: 10.3390/s20143937
PMID:: 32679781
: Czasopismo naukowe

Pełny tekst

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.

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