Evidence map›Paper›PMID 39546214›Full record

ArticleJournal of clinical monitoring and computing2025

Avatar-based versus conventional patient monitoring with distant vision: a computer-based simulation study.

Petar Milovanovic, Julia Braun, Cynthia Alexandra Hunn, Justyna Lunkiewicz, David Werner Tscholl, Greta Gasciauskaite

Abstract readComparative Study
In one paragraph

Article in Journal of clinical monitoring and computing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Trial
  2. Observational
  3. Advances in Remote Monitoring Technology Applications in Anesthesia: A Narrative Review.Medical science monitor : international medical journal of experimental and clinical research · 2026
    Review
  4. Article
  5. Article
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

6 authors.

Petar MilovanovicInstitute of Anesthesiology, University and University Hospital Zurich, Raemistrasse 100, Zurich, 8091, Switzerland.
Julia BraunEpidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland.
Cynthia Alexandra HunnClinic Hirslanden, Institute of Anesthesia and Intensive Care, Zurich, Switzerland.
Justyna LunkiewiczInstitute of Anesthesiology, University and University Hospital Zurich, Raemistrasse 100, Zurich, 8091, Switzerland.
David Werner TschollInstitute of Anesthesiology, University and University Hospital Zurich, Raemistrasse 100, Zurich, 8091, Switzerland. david.tscholl@usz.ch.
Greta GasciauskaiteInstitute of Anesthesiology, University and University Hospital Zurich, Raemistrasse 100, Zurich, 8091, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patient monitoring in the perioperative setting can be challenging, especially when monitoring multiple patients simultaneously or managing dynamic situations that require movement around the operating room. We aimed to evaluate whether avatar-based patient monitoring, which presents vital signs in the form of changing colors, shapes and motion, improves remote vital sign recognition compared to conventional monitoring. We conducted a prospective, single-center, computer-based simulation study to evaluate how anesthesia providers recognize vital signs when using the Philips Visual Patient Avatar at different viewing distances (8 and 16 m) compared to conventional monitoring. The primary outcome was the total number of correctly identified vital signs which were compared for the two distances and the two devices using mixed Poisson regression. We analyzed data from 28 anesthesia providers who participated in 112 simulations. The correct recognition rate using the Visual Patient Avatar compared to conventional monitoring at 8 m was increased by 74% (rate ratio 1.74, 95% CI, 1.42 to 2.14, p < 0.001) and by 51% at 16-meter viewing distance (rate ratio 1.51, 95% CI, 1.23 to 1.87, p < 0.001). We observed scenario-specific superior performance for six vital signs at 8 m. The results provide empirical evidence that avatar-based monitoring can significantly improve the perception of vital signs when using distant vision.

Indexed as

Computer SimulationMonitoring, IntraoperativeAdultAnesthesiologyAvatarFemaleHumansMaleMonitoring, PhysiologicOperating RoomsProspective StudiesUser-Computer InterfaceVital SignsAvatar-based monitoringDistant visionPatient monitoringPhilips visual patient avatarSituation awareness

Identifiers

PMID39546214
PMCPMC12474633

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.