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Visual Blood, visualisation of blood gas analysis in virtual reality, leads to more correct diagnoses: a computer-based, multicentre, simulation study

Zitieren Sie bitte immer diese URN: urn:nbn:de:bvb:20-opus-310979
  • Interpreting blood gas analysis results can be challenging for the clinician, especially in stressful situations under time pressure. To foster fast and correct interpretation of blood gas results, we developed Visual Blood. This computer-based, multicentre, noninferiority study compared Visual Blood and conventional arterial blood gas (ABG) printouts. We presented six scenarios to anaesthesiologists, once with Visual Blood and once with the conventional ABG printout. The primary outcome was ABG parameter perception. The secondary outcomesInterpreting blood gas analysis results can be challenging for the clinician, especially in stressful situations under time pressure. To foster fast and correct interpretation of blood gas results, we developed Visual Blood. This computer-based, multicentre, noninferiority study compared Visual Blood and conventional arterial blood gas (ABG) printouts. We presented six scenarios to anaesthesiologists, once with Visual Blood and once with the conventional ABG printout. The primary outcome was ABG parameter perception. The secondary outcomes included correct clinical diagnoses, perceived diagnostic confidence, and perceived workload. To analyse the results, we used mixed models and matched odds ratios. Analysing 300 within-subject cases, we showed noninferiority of Visual Blood compared to ABG printouts concerning the rate of correctly perceived ABG parameters (rate ratio, 0.96; 95% CI, 0.92–1.00; p = 0.06). Additionally, the study revealed two times higher odds of making the correct clinical diagnosis using Visual Blood (OR, 2.16; 95% CI, 1.42–3.29; p < 0.001) than using ABG printouts. There was no or, respectively, weak evidence for a difference in diagnostic confidence (OR, 0.84; 95% CI, 0.58–1.21; p = 0.34) and perceived workload (Coefficient, 2.44; 95% CI, −0.09–4.98; p = 0.06). This study showed that participants did not perceive the ABG parameters better, but using Visual Blood resulted in more correct clinical diagnoses than using conventional ABG printouts. This suggests that Visual Blood allows for a higher level of situation awareness beyond individual parameters’ perception. However, the study also highlighted the limitations of today’s virtual reality headsets and Visual Blood.zeige mehrzeige weniger

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Autor(en): Lisa Bergauer, Samira Akbas, Julia Braun, Michael T. Ganter, Patrick MeybohmORCiD, Sebastian Hottenrott, Kai Zacharowski, Florian J. Raimann, Eva Rivas, Manuel López-Baamonde, Donat R. Spahn, Christoph B. Noethiger, David W. Tscholl, Tadzio R. Roche
URN:urn:nbn:de:bvb:20-opus-310979
Dokumentart:Artikel / Aufsatz in einer Zeitschrift
Institute der Universität:Medizinische Fakultät / Klinik und Poliklinik für Anästhesiologie (ab 2004)
Sprache der Veröffentlichung:Englisch
Titel des übergeordneten Werkes / der Zeitschrift (Englisch):Bioengineering
ISSN:2306-5354
Erscheinungsjahr:2023
Band / Jahrgang:10
Heft / Ausgabe:3
Aufsatznummer:340
Originalveröffentlichung / Quelle:Bioengineering (2023) 10:3, 340. https://doi.org/10.3390/bioengineering10030340
DOI:https://doi.org/10.3390/bioengineering10030340
Allgemeine fachliche Zuordnung (DDC-Klassifikation):6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Freie Schlagwort(e):blood gas analysis; data display; diagnostic correctness; point-of-care; situation awareness; user-centred design; virtual reality
Datum der Freischaltung:01.03.2024
Datum der Erstveröffentlichung:08.03.2023
Lizenz (Deutsch):License LogoCC BY: Creative-Commons-Lizenz: Namensnennung 4.0 International