AI avatar · Urgent careFelix Morrow
Patient leaving without being seen
“I’ve been sitting here long enough. I’m going home and dealing with this myself.”
Reconnect with a patient leaving before being seen
A patient stands up to leave after a delay, saying they will just wait it out at home. The AI persona is frustrated and dismisses the value of staying, but reveals symptoms that may matter when asked well. The learner must quickly understand why they are leaving, clarify the safest next step, and either retain them appropriately or document and route the departure safely.
One of 37 handoffs & escalation scenarios in the library.
AI avatar · Urgent careFelix Morrow
Patient leaving without being seen
“I’ve been sitting here long enough. I’m going home and dealing with this myself.”
Reconnect with a patient leaving before being seen
Your brief
You are an urgent care staff member noticing Felix Morrow stand up to leave before being seen after a long delay. Felix is frustrated, minimizing the value of staying, and may be withholding symptoms that affect how safely he can leave. Use this brief conversation to understand what is happening now and reach a safe, appropriate disposition, whether that means retaining him for evaluation or routing and documenting his departure safely.
Why it's hard
You have seconds to stop a frustrated walkout without turning it into a power struggle. Felix wants to prove he can leave on his own terms, and the risk is hiding under that shrugging anger: once he mentions worsening abdominal pain, nausea, clamminess, and feeling lightheaded, this is no longer just a wait-time complaint. You need to slow him down, find out if leaving is safe, and pull in the clinical team without promising more than you control.
Your score in this scenario comes from these behaviors. Practice until they're your default.
Patient leaving before being seen training lets staff practice a brief urgent care conversation with a realistic AI avatar in the browser. You work to keep a frustrated patient engaged, surface hidden risk, and reach a safe next step. The conversation is scored, with notes against a checklist.

Simone Adeyemi
partial hospitalization client
At discharge from a partial hospitalization program, Simone insists she is leaving but rejects the recommended intensive outpatient program because it feels like “more of the same.” She pushes back on every option, then becomes more collaborative when her priorities and practical barriers are taken seriously. The learner must explain risks and choices without coercion, identify a workable follow-up plan, and escalate unresolved safety concerns appropriately.
Skills you'll train

Ravi Kulkarni
residential client
Ravi, a residential client, has slept very little, is making expansive plans, and has become increasingly impulsive over the evening. The outgoing staff member is unsure whether these changes are urgent because Ravi remains pleasant and denies needing help. The learner must communicate a concise, behavior-based handoff, flag immediate risks, and ensure the right clinician is notified rather than relying on the next shift to “keep an eye on it.”
Skills you'll train

Colby Hastings
Behavioral health technician
A client has begun waiting near one counselor’s car, sending increasingly personal messages, and interpreting routine kindness as a special relationship. The receiving supervisor needs concise facts and a clear safety plan, while the reporting staff member is embarrassed and worried about overreacting; the learner must communicate objective behaviors, immediate boundaries, and escalation needs.
Skills you'll train
Send this scenario to one role or one site. You set the pass mark and see who's ready before it's real.