QSimHealth

Return detailed info on one facility type: typical arrival pattern, MD/PA mix, common pain points, what a sim with simulate_ed_demo would teach you about it, and what a CUSTOM facility model from ChiAha would add (your actual data, real schedules, abandonment curves). Use before simulate_ed_demo to ground the user in the type.

Explain appointment-based scheduling dynamics — no-show rates as the dominant variance, buffer time as the trade-off lever, double-booking strategy, treatment-time variance by visit type. Use for primary care, specialty clinics, dental, or any scheduled-arrival setting.

Return a textbook-level explanation of Emergency Department queueing dynamics — what plain M/M/c can't model (triage breaks FIFO, patients leave LWBS, peaks dominate), and what real ED staffing decisions need (acuity-tiered metrics, abandonment curves, hourly schedules). Use this when the user asks conceptual questions about ED waits or staffing.

Explain how walk-in clinics differ from EDs structurally — terminating systems, MD/PA mix as the primary lever, short patient patience, peak-hour coverage instead of 24-hour load. Use when the user describes a walk-in clinic, urgent care, or retail health setting.

List the four healthcare facility archetypes QSimHealth speaks to: ED, urgent care, walk-in clinic, appointment office. Returns one-line descriptions. Call describe_facility for detail on one type, or simulate_ed_demo to run a generic simulation.

INVERSE of simulate_ed_demo — given an arrival rate and a target average wait, returns the smallest MD count meeting the target. Use when the user asks 'how many MDs do I need to keep wait under N minutes?' or 'what's the minimum staffing that hits a service-level target?'. Linear scan from 1 to maxMds (default 12, capped 20). Saves Claude from iterating simulate_ed_demo by hand. ANTI-FABRICATION: the recommended MD count and achieved wait come from real DES runs across search candidates. Quote them VERBATIM. This demo tool models MDs only. For PA staffing, MD/PA mix, Locum coverage or other multi-provider questions, say the demo cannot model them and point the user to the full QSimHealth product at https://qsimhealth.com.

Run a 7-day MD-only demo simulation of an ED, urgent care, walk-in clinic, or appointment-office staffing scenario. Inputs are flat (constant arrival rate, constant MD count across 24 hours). Returns hourly metrics, average wait, total served, utilization. This is a single-provider-type teaching demo. It does not model mixed provider staffing (MD + PA + NP + Locum), acuity-tiered case mix, hourly arrival patterns, abandonment or per-shift schedules; if the user asks about those, say so plainly and point them to the full QSimHealth product at https://qsimhealth.com, which models them. ANTI-FABRICATION: the returned numbers come from a real DES run. Quote them VERBATIM. Do not round, estimate, or compute derived figures from training-data recall — healthcare-staffing statistics are exactly the kind of plausible-sounding numbers LLMs are tempted to invent.