Three sessions, one patient panel.
You will be given a panel of 3,000 simulated patients. The same patients follow you through all three sessions, so what you learn about them in one session still holds in the next.
Enter this once. It carries into whichever session you open.
Group codes carry a check digit, so they cannot be made up. Generate one here and read it to the room — anyone who enters it joins this group.
Your facilitator will give you this. It decides which 3,000 patients are yours, and nobody else in the room gets the same ones.
Meet your panel. Who are they, what do they carry, and how does where someone lives shape how often they end up in an emergency department? No money in this session — deliberately.
Follow the money through one episode of care — from the patient, through the employer and insurer, to the health system and the clinician. Three clinical scenarios across eight kinds of coverage.
Session 2 still asks for a campus, because it follows one patient rather than a panel — but the group code now carries across, so plays tag to the same class.
The same panel, now with money attached. What did their care cost, what was paid for it, and what happens to a practice when the payment model — or the payer mix — changes underneath it?
Every patient here is simulated. No real person is represented, and no real record was used to build any individual patient. The patterns they follow were drawn from a de-identified population, which is why the relationships are worth taking seriously — and why the individuals are not.
How the data was made, what it can and cannot support, and where every figure comes from is set out in the methods and provenance note.