ReviewJournal of medical systems2021
A Survey About Real-Time Location Systems in Healthcare Environments.
Review in Journal of medical systems, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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.
Who cites it
8 citing papers in PubMed.
- Public health intelligence-ready blueprint for strengthening community resilience: a multi-stakeholder qualitative study in tertiary Chinese hospitals.Frontiers in public health · 2026Article
- Quantifying Spatial Shadow Zones and Their Association With Hospital Falls in Acute Care Unit: Real-Time Location System Observational Study.JMIR formative research · 2025Observational
- Indoor Positioning Systems as Critical Infrastructure: An Assessment for Enhanced Location-Based Services.Sensors (Basel, Switzerland) · 2025Review
- Video-based multi-target multi-camera tracking for postoperative phase recognition.International journal of computer assisted radiology and surgery · 2025Article
- The relationship between nurse contact time and patient outcomes: a retrospective observational study using Real-Time Location data.BMC health services research · 2025Observational
- Indoor Group Identification and Localization Using Privacy-Preserving Edge Computing Distributed Camera Network.IEEE journal of indoor and seamless positioning and navigation · 2024Article
- Indoor Location Data for Tracking Human Behaviours: A Scoping Review.Sensors (Basel, Switzerland) · 2022Article
- Fingerprint Feature Extraction for Indoor Localization.Sensors (Basel, Switzerland) · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Every year healthcare organizations suffer from several issues, such as unapropriated workflow, thousands of deaths caused by medical errors, counterfeit drugs, and increasing costs. To offer better patient care and increase profit, hospitals could adopt solutions that help remedy these problems. Real-Time Location Systems have the potential to deal with many of these issues, as well as offering means for developing new and intelligent solutions. This kind of system enables tracking assets and people, allowing several improvements. Even though the benefits of such solutions are well known and desired by healthcare providers, their large scale adoption is still distant. In this article, we surveyed Real-Time Location Systems usage in hospitals. While developing this survey, we observed a need for organizing important aspects of healthcare-oriented Real-Time Location Systems. Therefore, we analyzed challenges regarding this topic and a taxonomy proposed. This survey offers researchers and developers ways to comprehend the challenges surrounding this area while proposing a classification of aspects that a Real-Time Location System for healthcare environments must assess for it to be successful.
Indexed as
Identifiers
33559774What OpenQuestion holds
Registered trials
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.