Evidence map›Paper›PMID 30200938›Full record

ArticleBMC medical informatics and decision making2018

Real-time location system-based asset tracking in the healthcare field: lessons learned from a feasibility study.

Sooyoung Yoo, Seok Kim, Eunhye Kim, Eunja Jung, Kee-Hyuck Lee, Hee Hwang

Abstract read
In one paragraph

Article in BMC medical informatics and decision making, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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.

Sooyoung YooOffice of eHealth Research and Businesses, Seoul National University Bundang Hospital, 166, Gumi-ro, Bundang-gu, Seongnam-si, 436-707, South Korea.
Seok KimOffice of eHealth Research and Businesses, Seoul National University Bundang Hospital, 166, Gumi-ro, Bundang-gu, Seongnam-si, 436-707, South Korea.
Eunhye KimOffice of eHealth Research and Businesses, Seoul National University Bundang Hospital, 166, Gumi-ro, Bundang-gu, Seongnam-si, 436-707, South Korea.
Eunja JungNursing Department, Seoul National University Bundang Hospital, 166, Gumi-ro, Bundang-gu, Seongnam-si, 436-707, South Korea.
Kee-Hyuck LeeOffice of eHealth Research and Businesses, Seoul National University Bundang Hospital, 166, Gumi-ro, Bundang-gu, Seongnam-si, 436-707, South Korea.
Hee HwangOffice of eHealth Research and Businesses, Seoul National University Bundang Hospital, 166, Gumi-ro, Bundang-gu, Seongnam-si, 436-707, South Korea. neoroandy@snubh.org.ORCID 0000-0002-7964-1630

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNumerous hospitals and organizations have recently endeavored to study the effects of real-time location systems. However, their experiences of system adoption or pilot testing via implementation were not shared with others or evaluated in a real environment. Therefore, we aimed to share our experiences and insight regarding a real-time location system, obtained via the implementation and operation of a real-time asset tracking system based on Bluetooth Low Energy/WiFi in a tertiary care hospital, which can be used to improve hospital efficiency and nursing workflow.

methodsWe developed tags that were attached to relevant assets paired with Bluetooth Low Energy sensor beacons, which served as the basis of the asset tracking system. Problems with the system were identified during implementation and operation, and the feasibility of introducing the system was evaluated via a satisfaction survey completed by end users after 3 months of use.

resultsThe results showed that 117 nurses who had used the asset tracking system for 3 months were moderately satisfied (2.7 to 3.4 out of 5) with the system, rated it as helpful, and were willing to continue using it. In addition, we identified 4 factors (end users, target assets, tracking area, and type of sensor) that should be considered in the development of asset tracking systems, and 4 issues pertaining to usability (the active tag design, technical limitations, solution functions, and operational support).

conclusionsThe successful introduction of asset tracking systems based on real-time location in hospitals requires the selection of clear targets (e.g., users and assets) via analysis of the user environment and implementation of appropriate technical improvements in the system as required (e.g., miniaturization of the tag size and improvement of the sensing accuracy).

Indexed as

Computer SystemsWireless TechnologyAdultFeasibility StudiesHumansMaleMaterials Management, HospitalMiddle AgedYoung AdultAsset trackingEfficiencyHealthcareReal-time locating systemSystem implementation

Identifiers

PMID30200938
PMCPMC6131815

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LicenceCC BY
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Registered trials

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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.