Using Visual Patient to Show Vital Sign Predictions, a Computer-Based Mixed Quantitative and Qualitative Simulation Study.
Amos MalorgioDavid HenckertGiovanna SchweigerJulia BraunKai ZacharowskiFlorian Jürgen RaimannFlorian PiekarskiPatrick MeybohmSebastian HottenrottCorinna FroehlichDonat Rudolf SpahnChristoph Beat NöthigerDavid Werner TschollTadzio Raoul RochePublished in: Diagnostics (Basel, Switzerland) (2023)
This study found that care providers correctly identified >90% of the conditions (i.e., without considering urgencies). The accuracy of identification decreased when considering urgencies in addition to conditions. Therefore, in future development of the technology, we will focus on either only displaying conditions (without urgencies) or improving the visualizations of urgency to enhance usability for human users.