Evaluation of Real Time Location System technologies in the health care sector

Pancham, Jay; Millham, Richard; Fong, Simon

doi:10.1109/iccsa.2017.7999645

Cited by 9 publications

(2 citation statements)

References 17 publications

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“…The main types of RTLS are RFID and bluetooth. Radio-frequency identification (RFID) RTLS, 3 which was the original platform used for this function, improved patient care but had high costs of radio wave-compatible infrastructure, and technical problems with chips compared with bluetooth technology RTLS. 4 Bluetooth RTLS has excellent Received Signal Strength Indication (RSSI), cellular device compatibility, and large connection and identification range.…”

Section: Introductionmentioning

confidence: 99%

Speedy and satisfying: Real-time Location System increases Emergency Department efficiency and decreases frustration with finding medical equipment

LoGalbo,

Trojanowski,

Slusser

et al. 2023

Preprint

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INTRODUCTIONWe evaluated the impact of a real-time locating system on emergency department efficiency and frustration locating mobile otoscope/ophthalmoscope carts.DATA AND METHODSThirty ED providers were selected on-shift, each serving as their own control. Investigators hid two mobile otoscope/ophthalmoscopes carts (with and without the RTLS device) equidistant from the center of a provider’s work area. Providers were timed finding both devices and were queried regarding feelings about the search experience.RESULTSRTLS was associated with statistically-significantly less time locating equipment (average of 25 vs. 92 seconds) and percent of providers requiring 30, 60, 90, and 120 seconds to find the device. Providers felt finding the mobile cart with RTLS was easier; all rated finding the RTLS-tagged cart as easy. Without RTLS, two-thirds of subjects reported either frustration or extreme frustration vs. 3% with RTLS. All differences in comparisons of subjective experience were statistically-significant. Annual time and cost saving with RTLS would be 116.4 hours ($9,135.66).CONCLUSIONRTLS in EDs can decrease time and frustration associated with finding equipment and is cost-effective. Frustration is a common driver behind burnout in Emergency Medicine. Use of RTLS technology might improve the provider experience and, thereby, reduce burnout levels.

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Section: Introductionmentioning

confidence: 99%

Speedy and satisfying: Real-time Location System increases Emergency Department efficiency and decreases frustration with finding medical equipment

LoGalbo,

Trojanowski,

Slusser

et al. 2023

Preprint

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“…However, these papers focus on the feasibility and user-acceptance of the technology rather than examining approaches to analyzing RTLS data to describe human movement and behaviour. Moreover, existing technical reviews of RTLS technology focus on physical implementation challenges or describe configurations and accuracy of available hardware used [ 11 , 12 ]. Understanding features of spatiotemporal tracking data and analytic approaches are valuable in describing and assessing patterns of human behaviours.…”

Section: Introductionmentioning

confidence: 99%

Indoor Location Data for Tracking Human Behaviours: A Scoping Review

Shum

Faieghi

Borsook

et al. 2022

Sensors

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Real-time location systems (RTLS) record locations of individuals over time and are valuable sources of spatiotemporal data that can be used to understand patterns of human behaviour. Location data are used in a wide breadth of applications, from locating individuals to contact tracing or monitoring health markers. To support the use of RTLS in many applications, the varied ways location data can describe patterns of human behaviour should be examined. The objective of this review is to investigate behaviours described using indoor location data, and particularly the types of features extracted from RTLS data to describe behaviours. Four major applications were identified: health status monitoring, consumer behaviours, developmental behaviour, and workplace safety/efficiency. RTLS data features used to analyse behaviours were categorized into four groups: dwell time, activity level, trajectory, and proximity. Passive sensors that provide non-uniform data streams and features with lower complexity were common. Few studies analysed social behaviours between more than one individual at once. Less than half the health status monitoring studies examined clinical validity against gold-standard measures. Overall, spatiotemporal data from RTLS technologies are useful to identify behaviour patterns, provided there is sufficient richness in location data, the behaviour of interest is well-characterized, and a detailed feature analysis is undertaken.

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