Evidence map›Paper›PMID 32679781›Full record

SynthesisSensors (Basel, Switzerland)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

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.1field-weighted citation impact, top 19% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Analysis of Managers' Perception Regarding the Use of Traceability Tools in the Context of Brazilian Health.Inquiry : a journal of medical care organization, provision and financing
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Heleen M EssinkDepartment of Clinical Technology, Faculty of Mechanical, Maritime and Materials Engineering (3Me), Delft University of Technology, Mekelweg 2, 2628 CD Delft, The Netherlands.
Armelle KnopsDepartment of Clinical Technology, Faculty of Mechanical, Maritime and Materials Engineering (3Me), Delft University of Technology, Mekelweg 2, 2628 CD Delft, The Netherlands.ORCID 0000-0003-0198-9343
Amber M A Liqui LungDepartment 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 MeulenDepartment of Clinical Technology, Faculty of Mechanical, Maritime and Materials Engineering (3Me), Delft University of Technology, Mekelweg 2, 2628 CD Delft, The Netherlands.
Nino L WoutersDepartment of Clinical Technology, Faculty of Mechanical, Maritime and Materials Engineering (3Me), Delft University of Technology, Mekelweg 2, 2628 CD Delft, The Netherlands.ORCID 0000-0003-1342-0760
Aart J van der MolenDepartment of Radiology, Albinusdreef 2, NL-2333 ZA Leiden, The Netherlands.ORCID 0000-0002-2376-9424
Wouter J H VeldkampDepartment of Radiology, Albinusdreef 2, NL-2333 ZA Leiden, The Netherlands.
M Frank TermaatDepartment of Surgery, Albinusdreef 2, NL-2333 ZA Leiden, The Netherlands.
Delft University of Technology · NLLeiden University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

BiometryRadio Frequency Identification DeviceHospitalsHumansPersonnel, HospitalTrauma Centersbiometric identificationhealthcarehospitalreal-time person identificationRFID

Identifiers

PMID32679781
PMCPMC7411609
OpenAlexW3043412393

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.