ReviewSensors (Basel, Switzerland)2020
Situation Awareness-Oriented Patient Monitoring with Visual Patient Technology: A Qualitative Review of the Primary Research.
Review in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 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
24 citing papers in PubMed.
- Designing Novel Visual Physiologic Monitor Displays for Patient Care.Human factors · 2026Article
- Observational
- Article
- Avatar-based versus conventional patient monitoring with distant vision: a computer-based simulation study.Journal of clinical monitoring and computing · 2025Article
- Visual avatar to increase situational awareness in anaesthesia: Systematic review of recent evidence.World journal of methodology · 2025Article
- Survey-based qualitative exploration of user perspectives on the philips visual patient avatar in clinical situation management.Scientific reports · 2024Article
- Pediatric Anesthesia Providers' Perspective on the Real-Life Implementation of the Philips Visual Patient Avatar: A Qualitative Study.Children (Basel, Switzerland) · 2023Article
- The Visual Patient Avatar ICU Facilitates Information Transfer of Written Information by Visualization: A Multicenter Comparative Eye-Tracking Study.Diagnostics (Basel, Switzerland) · 2023Article
- User Perceptions of Avatar-Based Patient Monitoring for Intensive Care Units: An International Exploratory Sequential Mixed-Methods Study.Diagnostics (Basel, Switzerland) · 2023Article
- Using Visual Patient to Show Vital Sign Predictions, a Computer-Based Mixed Quantitative and Qualitative Simulation Study.Diagnostics (Basel, Switzerland) · 2023Article
- User Perceptions of Visual Blood: An International Mixed Methods Study on Novel Blood Gas Analysis Visualization.Diagnostics (Basel, Switzerland) · 2023Article
- Human-centered visualization technologies for patient monitoring are the future: a narrative review.Critical care (London, England) · 2023Review
- Avatar-based patient monitoring improves information transfer, diagnostic confidence and reduces perceived workload in intensive care units: computer-based, multicentre comparison study.Scientific reports · 2023Article
- User Perceptions of ROTEM-Guided Haemostatic Resuscitation: A Mixed Qualitative-Quantitative Study.Bioengineering (Basel, Switzerland) · 2023Article
- Visual Blood, Visualisation of Blood Gas Analysis in Virtual Reality, Leads to More Correct Diagnoses: A Computer-Based, Multicentre, Simulation Study.Bioengineering (Basel, Switzerland) · 2023Article
- Biosensor Development and Innovation in Healthcare and Medical Applications.Sensors (Basel, Switzerland) · 2023Article
- Visual Blood, a 3D Animated Computer Model to Optimize the Interpretation of Blood Gas Analysis.Bioengineering (Basel, Switzerland) · 2023Article
- A Sign Language Recognition System Applied to Deaf-Mute Medical Consultation.Sensors (Basel, Switzerland) · 2022Article
- Visual Attention of Anesthesia Providers in Simulated Anesthesia Emergencies Using Conventional Number-Based and Avatar-Based Patient Monitoring: Prospective Eye-Tracking Study.JMIR serious games · 2022Article
- User Perceptions of Different Vital Signs Monitor Modalities During High-Fidelity Simulation: Semiquantitative Analysis.JMIR human factors · 2022Article
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
Visual Patient technology is a situation awareness-oriented visualization technology that translates numerical and waveform patient monitoring data into a new user-centered visual language. Vital sign values are converted into colors, shapes, and rhythmic movements-a language humans can easily perceive and interpret-on a patient avatar model in real time. In this review, we summarize the current state of the research on the Visual Patient, including the technology, its history, and its scientific context. We also provide a summary of our primary research and a brief overview of research work on similar user-centered visualizations in medicine. In several computer-based studies under various experimental conditions, Visual Patient transferred more information per unit time, increased perceived diagnostic certainty, and lowered perceived workload. Eye tracking showed the technology worked because of the way it synthesizes and transforms vital sign information into new and logical forms corresponding to the real phenomena. The technology could be particularly useful for improving situation awareness in settings with high cognitive demand or when users must make quick decisions. This comprehensive review of Visual Patient research is the foundation for an evaluation of the technology in clinical applications, starting with a high-fidelity simulation study in early 2020.
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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.