ReviewCritical care (London, England)2023
Human-centered visualization technologies for patient monitoring are the future: a narrative review.
Review in Critical care (London, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Systematic Review of Empirical Studies on Situation Awareness: Perspectives From the Interaction Among Humans, Machines, and the Task Environment.PsyCh journal · 2025Pooled it
- Using a Wearable-Based Animated Patient Avatar to Improve Patients' Perception of Vital Signs: Multicenter Computer-Based Study.JMIR formative research · 2026Trial
- Observational
- Anaesthesia professionals' perspectives on ECG interpretation and arrhythmia situation awareness with Visual Patient Heart: a qualitative multicentre study.BMC medical informatics and decision making · 2026Article
- Anesthesia Providers' Perspectives on the Redesigned Philips Acoustic Alarm System: Qualitative Pre- and Postimplementation Study.JMIR human factors · 2026Article
- Article
- Large Language Models in Critical Care Medicine: Scoping Review.JMIR medical informatics · 2025Article
- Visual avatar to increase situational awareness in anaesthesia: Systematic review of recent evidence.World journal of methodology · 2025Article
- The future of sound in patient monitoring: a call to action to embrace the evidence and move forward.British journal of anaesthesia · 2025Article
- Visualizing hemodynamics: innovative graphical displays and imaging techniques in anesthesia and critical care.Critical care (London, England) · 2025Review
- Digital twins for chronic lung diseases.European respiratory review : an official journal of the European Respiratory Society · 2024Review
- Survey-based qualitative exploration of user perspectives on the philips visual patient avatar in clinical situation management.Scientific reports · 2024Article
- Qualitative Exploration of Anesthesia Providers' Perceptions Regarding Philips Visual Patient Avatar in Clinical Practice.Bioengineering (Basel, Switzerland) · 2024Article
- User Perceptions of Visual Clot in a High-Fidelity Simulation Study: Mixed Qualitative-Quantitative Study.JMIR human factors · 2024Article
- User Perceptions of Avatar-Based Patient Monitoring for Intensive Care Units: An International Exploratory Sequential Mixed-Methods 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
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
Medical technology innovation has improved patient monitoring in perioperative and intensive care medicine and continuous improvement in the technology is now a central focus in this field. Because data density increases with the number of parameters captured by patient-monitoring devices, its interpretation has become more challenging. Therefore, it is necessary to support clinicians in managing information overload while improving their awareness and understanding about the patient's health status. Patient monitoring has almost exclusively operated on the single-sensor-single-indicator principle-a technology-centered way of presenting data in which specific parameters are measured and displayed individually as separate numbers and waves. An alternative is user-centered medical visualization technology, which integrates multiple pieces of information (e.g., vital signs), derived from multiple sensors into a single indicator-an avatar-based visualization-that is a meaningful representation of the real-world situation. Data are presented as changing shapes, colors, and animation frequencies, which can be perceived, integrated, and interpreted much more efficiently than other formats (e.g., numbers). The beneficial effects of these technologies have been confirmed in computer-based simulation studies; visualization technologies improved clinicians' situation awareness by helping them effectively perceive and verbalize the underlying medical issue, while improving diagnostic confidence and reducing workload. This review presents an overview of the scientific results and the evidence for the validity of these technologies.
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.