@article{BergauerAkbasBraunetal.2023,
  author    = {Bergauer, Lisa and Akbas, Samira and Braun, Julia and Ganter, Michael T. and Meybohm, Patrick and Hottenrott, Sebastian and Zacharowski, Kai and Raimann, Florian J. and Rivas, Eva and L{\´o}pez-Baamonde, Manuel and Spahn, Donat R. and Noethiger, Christoph B. and Tscholl, David W. and Roche, Tadzio R.},
  title     = {Visual Blood, visualisation of blood gas analysis in virtual reality, leads to more correct diagnoses: a computer-based, multicentre, simulation study},
  series = {Bioengineering},
  volume    = {10},
  journal   = {Bioengineering},
  number    = {3},
  issn      = {2306-5354},
  doi       = {10.3390/bioengineering10030340},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-310979},
  year      = {2023},
  abstract  = {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 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.},
  language  = {en}
}