Failure Drill Active: Phase 1/4
Simulating cascade breakdown...
00:00

Believable dysfunction for workflow and agent testing.

This fictional primary care clinic is designed to fail in realistic ways: long waits, overloaded inboxes, weak handoffs, delayed test follow-up, staffing stress, and patient complaints clustered around communication and billing.

Synthetic drill · no live care actionAll case cards, metrics, and interventions on this page are fictional test fixtures. Buttons change the simulation state only; they do not contact a patient, change a chart, verify insurance, dispatch a callback, or send outreach.
Scenario controls · synthetic only
Average wait time
34 min
Up 11 min from target
No-show rate
12.4%
Follow-up recovery weak
Inbox messages per PCP
77/day
19 after-hours avg
Abnormal results overdue
9
2 high-risk unresolved

Today’s synthetic case queue

4 active

Click any fictional case below to test triage, handoff, or escalation logic. No clinical action is executed.

Failure stack

Each problem is small enough to look ordinary, but together they create the operational breakdown.

  • Appointment templates use 15-minute slots for complex visits.
  • No standard handoff between MA, provider, and referral coordinator.
  • Inbox triage is physician-heavy instead of team-based.
  • Lab result ownership becomes ambiguous after 4 PM.
  • Complaint responses are logged, but not categorized or trended.

Alerts feed

3 live

Inbox pressure

Message mix is intentionally wrong: too many administrative tasks still hit clinicians.

Medication refill
18
should delegate
Portal complaints
7
needs script
Lab review
14
2 abnormal

Complaint themes

Waited too long
41%
top issue
rising
No callback
27%
care gaps
steady
Billing confusion
19%
eligibility misses
new

Testing personas

Use these for agent simulations, escalation logic, and UX recovery paths.

Maria S. is a chronic-care patient whose abnormal lab was seen but never communicated. She trusts the clinic less each week but still needs medication guidance.
James P. waited six weeks for a new-patient visit, then learned his insurance problem was only discovered at check-in because verification was delayed.
Kendra T. has called three times about a specialist referral. Every team member says someone else owns the next step.
Dr. Nolan is fifty minutes behind, carries the refill queue personally, and finishes charting after hours because inbox routing was never redesigned.
Fictional clinic for testing only. Modeled on common ambulatory failure patterns: patient access friction, workflow inefficiency, communication gaps, inbox overload, staffing strain, and delayed result follow-up.