ArticleIEEE journal of translational engineering in health and medicine2022
Development of an Extended Reality Simulator for Basic Life Support Training.
Article in IEEE journal of translational engineering in health and medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled 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.
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
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Virtual Reality for Cardiopulmonary Resuscitation Healthcare Professionals Training: A Systematic Review.Journal of medical systems · 2024Pooled it
- Evaluating Whether Nonimmersion Virtual Reality Simulation Training Improves Nursing Competency in Isolation Wards: Randomized Controlled Trial.Journal of medical Internet research · 2025Trial
- Effectiveness of a scenario-based gamified virtual reality training on nurses' basic life support knowledge: a randomized controlled trial.BMC nursing · 2026Article
- Evaluation of basic life support practice skills based on artificial intelligence technology: system construction and evaluation equivalence validation.BMC medical education · 2026Article
- Artificial intelligence based resuscitation simulation: a pilot study of a novel approach to team leadership training.BMC medical education · 2026Article
- Extended reality technologies in adult basic life support education: A scoping review.Resuscitation plus · 2025Review
- Redesign of a virtual reality basic life support module for medical training - a feasibility study.BMC emergency medicine · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveExtended Reality (XR) is a simultaneous combination of the virtual and real world. This paper presents the details of the framework and development methods for an XR basic life support (XR-BLS) simulator, as well as the results of an expert usability survey.
methodsThe XR-BLS simulator was created by employing a half-torso manikin in a virtual reality environment and using BLS education data that is in line with the 2020 American Heart Association guidelines. A head-mounted display (HMD) and hand-tracking device were used to perform chest compressions and ventilation and to enable the use of an automated external defibrillator in a virtual environment. A usability study of the XR-BLS simulator through an expert survey was also conducted. The survey consisted of a total of 8 items: 3, 2, and 2 questions about the ease of use of XR-BLS, delivery of training, and artificial intelligence (AI) instructor in the simulator, respectively.
resultsThe XR simulator was developed, and the expert survey showed that it was easy to use, the BLS training was well delivered, and the interaction with the AI instructor was clear and understandable. DISCUSSION/
conclusionThe XR-BLS simulator is useful as it can conduct BLS education without requiring instructors and trainees to gather.
Indexed as
Identifiers
What 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.