One virtual physician is at the level of the learner while the second one is an MS expert. After each decision, the expert provides coaching to both the virtual physician and the participant.
This creates a 3-way conversation that immerses the learner in virtual practice with coaching.
This shows an example a complex presentation that sets up clinical management decisions.
This decision example navigates a challenging misconception.
This scene sets up a difficult shared decision-making situation around adherence.
Participant is asked to decide what an expert sleep specialist would do in the situation. The other virtual physician is at the level of the participant, and asks questions to draw out the clinical nuances.
Patient re-evaluation after initial treatment. This brief interaction sets up next treatment decision.
Review of sleep study results with child and parent before deciding on next steps in clinical management.
Two virtual clinicians discovering key information in a patient follow-up to set up the next clinical management decision.
This example shows how AliveSim can simulate managing patients over time.
This example illustrates how to use a shared decision-making approach to identify patient preferences for various treatment options.
Syandus: Transform your challenging situations into interactive scenarios where learners and multiple avatars engage in structured practice to make decisions the way top performers do. Our AI-enhanced platform (AliveSim) creates natural conversations and decision points through game technology and proven learning design, consistently delivering measurable performance improvements for leading organizations. Trusted by healthcare and enterprise customers, and accessible anywhere.
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