Evidence map›Paper›PMID 41818743›Full record

Trial reportJMIR formative research2026

Using a Wearable-Based Animated Patient Avatar to Improve Patients' Perception of Vital Signs: Multicenter Computer-Based Study.

Johannes Köhler, Max Ebensperger, Cynthia A Hunn, Arend Rahrisch, Achilles Delis, Florian Piekarski, Gregor Massoth, Florian J Raimann, Kai Zacharowski, David W Tscholl and 1 more

Abstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in JMIR formative research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Johannes Köhler *Institute for Anesthesiology and Perioperative Medicine, University and University Hospital Zurich, Zurich, Switzerland.ORCID 0000-0002-7790-2358
Max Ebensperger *Department of Anesthesiology and Intensive Care, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany.ORCID 0009-0002-3983-2405
Cynthia A HunnInstitute for Anesthesiology and Perioperative Medicine, University and University Hospital Zurich, Zurich, Switzerland.ORCID 0009-0001-1173-2755
Arend RahrischInstitute for Anesthesiology and Perioperative Medicine, University and University Hospital Zurich, Zurich, Switzerland.ORCID 0009-0006-3882-965X
Achilles DelisDepartment of Anesthesiology and Intensive Care Medicine, University Hospital Bonn, Bonn, Germany.ORCID 0000-0003-0363-8643
Florian PiekarskiDepartment of Anesthesiology and Intensive Care Medicine, University Hospital Bonn, Bonn, Germany.ORCID 0000-0002-4095-3573
Gregor MassothDepartment of Anesthesiology and Intensive Care Medicine, University Hospital Bonn, Bonn, Germany.ORCID 0000-0002-4973-2208
Florian J RaimannGoethe University Frankfurt, University Hospital, Department of Anaesthesiology, Intensive Care Medicine and Pain Therapy, Frankfurt, Germany.ORCID 0000-0002-6597-9585
Kai ZacharowskiGoethe University Frankfurt, University Hospital, Department of Anaesthesiology, Intensive Care Medicine and Pain Therapy, Frankfurt, Germany.ORCID 0000-0002-0212-9110
David W TschollInstitute for Anesthesiology and Perioperative Medicine, University and University Hospital Zurich, Zurich, Switzerland.ORCID 0000-0002-3677-3705
Tadzio Raoul RocheInstitute for Anesthesiology and Perioperative Medicine, University and University Hospital Zurich, Zurich, Switzerland.ORCID 0000-0002-1072-5748

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVisual patient avatars are an innovative patient monitoring technology that can be used to translate numerical and waveform data into intuitive, avatar-based representations of patient conditions. Previous research indicates that this technology improves health care providers' situational awareness compared to conventional monitoring methods. As patient-worn continuous vital sign monitoring continues to evolve, we introduce the Visual Patient Wearable device to provide avatar-based visualization tailored to this application.

objectiveThis study aimed to evaluate whether a wearable-based animated patient avatar can improve patients' perception and recall of simulated vital sign deviations compared to conventional monitoring methods, and to assess the usability and acceptance of this avatar-based visualization.

methodsThis computer-based study included 67 patients from 3 academic hospitals in Central Europe. Participants were randomly assigned to a Visual Patient Wearable group or a conventional monitoring group and viewed a standardized instructional video for their allocated method. They then completed 4 randomized clinical scenarios, each displayed for 6 seconds to simulate glance-based assessment. Accuracy in recalling vital sign deviations was measured, and Visual Patient Wearable participants additionally gave user feedback on Likert scales.

resultsThe Visual Patient Wearable system was associated with higher detection accuracy of vital sign deviations compared with standard monitoring layouts, increasing from a median correctness of 46% (IQR 33%-63%) with conventional monitoring to a median of 67% (IQR 49%-79%) with the Visual Patient Wearable system (P<.001). This corresponded to a risk ratio of 1.34 (95% CI 1.23%-1.47%). The magnitude of this association varied across signals, with the largest relative improvement observed for heart rhythm (137% improvement, 95% CI 85%-209%), followed by oxygen saturation (SpO

conclusionsThis computer-based study suggests that Visual Patient Wearable visualizations enhance patients' ability to detect and recall simulated vital sign deviations. Participants found the system intuitive, easy to learn, and reassuring. The Visual Patient Wearable system provides an at-a-glance interface that may support patients' understanding of their vital signs and could facilitate communication of relevant information to clinical staff, thereby potentially contributing to informed patient engagement. The next step is to develop a software prototype for wearable devices and test it in a clinical study.

Indexed as

AvatarPerceptionVital SignsWearable Electronic DevicesAdultAgedFemaleHumansMaleMiddle AgedMonitoring, Physiologicdiagnosispatient avatarspatient monitoringsituation awarenessusabilityvital sign informationwearable

Identifiers

PMID41818743
PMCPMC13022546

What OpenQuestion holds

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Registered trials

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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.