Evidence map›Paper›PMID 39333568›Full record

ArticleScientific reports2024

Survey-based qualitative exploration of user perspectives on the philips visual patient avatar in clinical situation management.

Indre Radaviciute, Cynthia A Hunn, Justyna Lunkiewicz, Petar Milovanovic, Jan F Willms, Christoph B Nöthiger, Emanuela Keller, David W Tscholl, Greta Gasciauskaite

Abstract read
In one paragraph

Article in Scientific reports, 2024. 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. Article
  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

9 authors.

Indre Radaviciute *Institute of Anaesthesiology, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland.
Cynthia A Hunn *Institute of Anaesthesiology, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland.
Justyna LunkiewiczInstitute of Anaesthesiology, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland.
Petar MilovanovicInstitute of Anaesthesiology, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland.
Jan F WillmsNeurosurgical Intensive Care Unit, Department of Neurosurgery and Institute of Intensive Care Medicine, University Hospital and University of Zurich, Raemistrasse 100, 8091, Zurich, Switzerland.
Christoph B NöthigerInstitute of Anaesthesiology, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland.
Emanuela KellerNeurosurgical Intensive Care Unit, Department of Neurosurgery and Institute of Intensive Care Medicine, University Hospital and University of Zurich, Raemistrasse 100, 8091, Zurich, Switzerland.
David W TschollInstitute of Anaesthesiology, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland. david.tscholl@usz.ch.
Greta GasciauskaiteInstitute of Anaesthesiology, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Philips Visual Patient Avatar is an innovative approach to patient monitoring. Computer-based simulation studies have shown that it can improve diagnostic accuracy and confidence while reducing perceived workload. Following its integration into clinical practice, we conducted a single-centre qualitative study at the University Hospital Zurich to explore the views of anaesthesia, post-anaesthesia and intensive care providers on their experience with the technology. We used an online survey to assess its contributions in different clinical situations. We analysed the data thematically to identify key themes. Of the 510 healthcare providers contacted, 131 (25.7%) completed the survey and 154 comments were collected. Key themes included the detection of specific vital sign changes, focusing on temperature and oxygen saturation (41.9%, 34/81 comments in the operating room; 38.6%, 17/44 comments in the intensive care unit; 10.3%, 3/29 comments in the post-anaesthesia care unit). Additionally, the technology was perceived to support daily routines and situational awareness (28.4%, 23/81 comments in the OR; 9.1%, 4/44 comments in the ICU; 10.3%, 3/29 comments in the PACU). The study provides early, but strong evidence that the Philips Visual Patient Avatar assists healthcare providers in specific clinical situations in the perioperative and critical care settings.

Indexed as

Qualitative ResearchAvatarFemaleHealth PersonnelHumansIntensive Care UnitsMaleMonitoring, PhysiologicSurveys and QuestionnairesUser-Computer InterfacePatient monitoringPhilips Visual Patient AvatarQualitative researchSituation awarenessUser-centred design

Identifiers

PMID39333568
PMCPMC11437179

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.