Which hospitals cut staffing year-over-year? Compares each CCN's latest HCRIS fiscal year
Which hospitals cut staffing year-over-year? Compares each CCN's latest HCRIS fiscal year to the prior on a staffing ratio (metric=fte_per_bed default, or fte_per_discharge) and returns those whose ratio DROPPED. Filter by state, min_pct_drop, year, ccn, name, control_type, min_beds. Returns latest/prior ratio, delta and pct_change — an understaffing tell. CCN joins CMS timely-care. CMS public-domain records.
1250000 (raw units)
price
1
calls / 30d
1
unique payers
2026-09-07
updated
Provider
api.govparse.io · discovered, not yet claimed by its owner
Payment (x402 accepts[])
[
{
"scheme": "exact",
"network": "eip155:8453",
"payTo": "0x3873d15CF3209c32aaA8d9AA542164E658567129",
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"amount": "1250000",
"maxTimeoutSeconds": 300
},
{
"scheme": "exact",
"network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
"payTo": "BdcZbENFdEyEUMqv9pnRMUnn1Yyeyo2dCMbYXbJ3LmaB",
"asset": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
"amount": "1250000",
"maxTimeoutSeconds": 300
}
]Output schema
{
"bazaar": {
"info": {
"input": {
"method": "GET",
"queryParams": {
"min_pct_drop": "10",
"state": "TX",
"year": "2023"
},
"type": "http"
},
"output": {
"example": {
"rows": [
{
"ccn": "450078",
"delta": -0.71,
"hospital_name": "EXAMPLE REGIONAL MEDICAL CENTER",
"latest_fy": 2023,
"latest_ratio": 3.91,
"metric": "fte_per_bed",
"pct_change": -15.4,
"prior_fy": 2022,
"prior_ratio": 4.62,
"state": "TX"
}
],
"total_matched": 1
},
"type": "json"
}
},
"routeTemplate": "/v1/hcris/staffing-decline/search",
"schema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"properties": {
"ccn": {
"description": "Provider CCN(s), CSV.",
"examples": [
"450078"
],
"type": "string"
},
"control_type": {
"description": "Type of control fragment.",
"examples": [
"Proprietary"
],
"type": "string"
},
"limit": {
"description": "Max rows (default 25, cap 100).",
"examples": [
25
],
"type": "integer"
},
"metric": {
"description": "fte_per_bed (default) | fte_per_discharge.",
"examples": [
"fte_per_bed"
],
"type": "string"
},
"min_beds": {
"description": "Minimum beds in the latest year.",
"examples": [
"100"
],
"type": "string"
},
"min_pct_drop": {
"description": "Minimum YoY % drop in the ratio.",
"examples": [
"10"
],
"type": "string"
},
"name": {
"description": "Hospital name fragment.",
"examples": [
"Memorial"
],
"type": "string"
},
"offset": {
"description": "Rows to skip.",
"examples": [
0
],
"type": "integer"
},
"state": {
"description": "Hospital state code(s), CSV.",
"examples": [
"TX"
],
"type": "string"
},
"year": {
"description": "Restrict the LATEST fiscal year(s) compared, CSV.",
"examples": [
"2023"
],
"type": "string"
}
},
"required": [],
"type": "object"
}
},
"type": "object"
}
}
}Use it
curl
curl "https://api.govparse.io/v1/hcris/staffing-decline/search" # -> 402 Payment Required, accepts[] lists how to pay # retry with a PAYMENT-SIGNATURE (or PAYMENT header) once paid
JavaScript
const res = await fetch("https://api.govparse.io/v1/hcris/staffing-decline/search");
if (res.status === 402) {
const { accepts } = await res.json();
// pay one of accepts[] via an x402 client, then retry with the payment header
}Python
import httpx
res = httpx.get("https://api.govparse.io/v1/hcris/staffing-decline/search")
if res.status_code == 402:
accepts = res.json()["accepts"]
# pay one of accepts[] via an x402 client, then retry with the payment headerMachine-readable
Everything on this page is also available as clean JSON at /resources/14591.json, and this resource appears in /discovery/resources and /discovery/search.