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Weiss 2014 CEDOCS Reduced Model Calculator
x402
Weiss 2014 CEDOCS Reduced Model Calculator is a paid API for AI agents from api.magentlab.com, paid per call via x402, $0.005/call, status unknown (last checked 2026-09-15).
Computes the Weiss 2014 Community ED Overcrowding Scale (CEDOCS) reduced-model score (0–100, 1 decimal) from five clinical inputs: critical-care patients, longest admitted-patient wait hours, waiting-room count, ED occupancy ratio, and annual visit volume with cubic spline.
Price / call$0.005
Success—
StatusUnknown
How this service works
Weiss 2014 Community ED Overcrowding Scale (CEDOCS) reduced model: critical-care patients, longest admitted-patient hours since admission, waiting-room count, ED patients indexed to ED beds, and annual ED visits with a restricted cubic spline. Returns the 1-decimal score on the paper's 0-100 scale without clamping or named class bands. Caller supplies counts and hours; magent does not count patients or wait times. Not a medical device and not a diversion or ambulance-bypass order.
Output
Returns a single numeric CEDOCS score on the Weiss 2014 paper's 0–100 scale, expressed to one decimal place. The score is not clamped and does not include named class bands or diversion recommendations — it is a raw arithmetic output of the reduced model formula including the restricted cubic spline on annual visit volume.
Example use cases
Real-time ED crowding dashboard
“Our ED currently has 5 critical-care patients, the longest admitted patient has been here 11 hours, 18 people are in the waiting room, we have 35 total patients and 22 beds, and we see about 55000 visits per year — what's our CEDOCS score right now?”
Shift-change capacity briefing
“At shift handoff our numbers are: 2 critical-care patients, longest admitted wait 6.5 hours, 9 waiting-room patients, 25 total ED patients, 18 beds, and our annual volume is 43000 visits — can you give me the Weiss 2014 CEDOCS overcrowding score?”
Retrospective overcrowding analysis
“I'm reviewing last Tuesday evening's ED data: 4 critical-care patients, longest admitted patient was in the ED 14 hours, 22 in the waiting room, 40 total patients across 24 beds, annual visits 67000 — compute the CEDOCS reduced-model score for that snapshot.”
Technical details
Endpoint
GEThttps://api.magentlab.com/api/calc/cedocsWhen to prefer
Use this endpoint when you need to compute a validated, published ED overcrowding score using the Weiss 2014 CEDOCS reduced model specifically — particularly when the full NEDOCS or EDWIN models are unavailable or the caller is working with community (non-academic) ED benchmarks. Prefer this over manual formula implementation to ensure correct cubic spline knot placement at the paper's specified knots (18811, 43012, 49466, 67273). Not appropriate as a diversion decision tool or for use as a medical device; purely for informational capacity analytics.
Side effects
- Missing required query parameters (critical_care_patients, admit_time_hours, waiting_room_patients, ed_patients, ed_beds, ed_visits_per_year) → 400 Bad Request
- ed_beds value of 0 would cause division-by-zero in occupancy ratio — likely 400 or error response
- Values outside documented ranges (e.g. ed_beds > 300, ed_visits_per_year < 1000) may produce out-of-range or undefined spline results
- Payment failure via x402 protocol → 402 Payment Required
- Non-integer values supplied for integer fields → 400 validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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