Evidence map›Paper›PMID 30104557›Full record

ArticleSensors (Basel, Switzerland)2018

RFID Technology for Management and Tracking: e-Health Applications.

Yuri Álvarez López, Jacqueline Franssen, Guillermo Álvarez Narciandi, Janet Pagnozzi, Ignacio González-Pinto Arrillaga, Fernando Las-Heras Andrés

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
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

19 citing papers in PubMed.

  1. Article
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  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. UHF RFID Conductive Fabric Tag Design Optimization.Sensors (Basel, Switzerland) · 2021
    Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Flexible UHF RFID Tag for Blood Tubes Monitoring.Sensors (Basel, Switzerland) · 2019
    Article
  18. Article
  19. 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

6 authors.

Yuri Álvarez LópezÁrea de Teoría de la Señal y Comunicaciones, Universidad de Oviedo, 33203 Gijón (Asturias), Spain. alvarezyuri@uniovi.es.ORCID 0000-0003-3625-4515
Jacqueline FranssenFaculty of Computer Science, Hochschule Mannheim, 68163 Mannheim, Germany. jacqueline.franssen@stud.hs-mannheim.de.
Guillermo Álvarez NarciandiÁrea de Teoría de la Señal y Comunicaciones, Universidad de Oviedo, 33203 Gijón (Asturias), Spain. alvareznguillermo@uniovi.es.
Janet PagnozziDepartamento de Medicina, Universidad de Oviedo, 33006 Oviedo (Asturias), Spain. UO253695@uniovi.es.
Ignacio González-Pinto ArrillagaDepartamento de Medicina, Universidad de Oviedo, 33006 Oviedo (Asturias), Spain. igpinto@uniovi.es.
Fernando Las-Heras AndrésÁrea de Teoría de la Señal y Comunicaciones, Universidad de Oviedo, 33203 Gijón (Asturias), Spain. flasheras@uniovi.es.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Radio frequency identification (RFID) has become a key technology in the logistics and management industry, thanks to distinctive features such as the low cost of RFID tags, and the easiness of the RFID tags' deployment and integration within the items to be tracked. In consequence, RFID plays a fundamental role in the so-called digital factory or 4.0 Industry, aiming to increase the level of automatization of industrial processes. In addition, RFID has also been found to be of great help in improving the tracking of patients, medicines, and medical assets in hospitals, where the digitalization of these operations improves their efficiency and safety. This contribution reviews the state-of-the-art of RFID for e-Health applications, describing the contributions to improve medical services and discussing the limitations. In particular, it has been found that a lot of effort has been put into software development, but in most of the cases a detailed study of the physical layer (that is, the characterization of the RFID signals within the area where the system is deployed) is not properly conducted. This contribution describes a basic RFID system for tracking and managing assets in hospitals, aiming to provide additional details about implementation aspects that must be considered to ensure proper functionality of the system. Although the scope of the RFID system described in this contribution is restricted to a small area of the hospital, the architecture is fully scalable to cover the needs of the different medical services in the hospital. Ultra high-frequency (UHF) RFID technology is selected over the most extended near-field communication (NFC) and high-frequency (HF) RFID technology to minimize hardware infrastructure. In particular, UHF RFID also makes the coverage/reading area conformation easier by using different kinds of antennas. Information is stored in a database, which is accessed from end-user mobile devices (tablets, smartphones) where the position and status of the assets to be tracked are displayed.

Indexed as

Radio Frequency Identification DeviceHospitalsHumansTechnologyTelemedicineassets trackinge-healthindoor location systems (ILS)internet-of-thingslogisticsradioelectric coverageradio frequency identification (RFID)

Identifiers

PMID30104557
PMCPMC6111728

What OpenQuestion holds

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LicenceCC BY
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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.