ToolPin

QSimHealth

com.qsimhealth/public · v1.0.0 · MCP 2025-06-18

Healthcare staffing simulator — ED, walk-in clinic, and appointment office DES tools.

Reachability reachable
checked 2026-07-14 03:16 UTC
Registry status active
Tools pinned 7
e4987f572c78
Tools last changed unchanged since first capture 2026-07-14

Provenance

Registry namespace com.qsimhealth (domain verified by the official registry)
Repository github.com/chiaha-ai/qsimhealth-site
Remote endpoints
https://qsimhealth.com/mcp/v1 (streamable-http)

Observed changes

When (UTC)EventDetail
2026-07-14 03:16 first capture 7 tools pinned

Pinned tool definitions (7)

ToolDescription
explain_ed_queueing 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,...
explain_walk_in_clinic 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...
explain_appointment_office 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,...
list_facility_types 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...
describe_facility 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...
simulate_ed_demo 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...
recommend_md_count 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...

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