Introducing HealthTasks Voice Simulations
AI voice clinical simulations with branching scenarios, CJMM-aligned grading, and structured debrief for nursing and allied health programs.
Clinical judgment is hard to practice at scale. Lab time is limited. Faculty bandwidth is limited. Students still need repeated, realistic encounters before they face patients.
Today we're introducing HealthTasks Voice Simulations.
Practice that sounds like the real thing
Students speak, listen, and respond in real time. There is no clicking through a scripted checklist. Scenarios branch based on what the student says and does, so every encounter can unfold differently.
That matters for the skills programs struggle to standardize:
- Assessment and prioritization
- Therapeutic communication
- Clinical decision-making under uncertainty
- Ongoing evaluation of patient response
Feedback faculty can trust
Each simulation is graded across clinical reasoning domains, aligned to frameworks like the Clinical Judgment Measurement Model (CJMM). Students get structured performance summaries. Faculty get transcripts, strengths, gaps, and safety considerations without watching every encounter live.
Debrief stays in the loop: guided reflection, clear connections to outcomes, and evidence programs can review later.
Built for curriculum, not one-off demos
Programs can generate scenarios with AI, customize cases to match coursework, and target specific competencies or student weaknesses. The goal is more high-quality practice without adding another siloed simulation tool.
Get started
Learn more about Voice Simulations and how they fit into clinical education workflows.
