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MEWS Calculator (Modified Early Warning Score)
x402
MEWS Calculator (Modified Early Warning Score) 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 Modified Early Warning Score (MEWS) from Subbe 2001 using systolic BP, heart rate, respiratory rate, temperature, and AVPU, returning the total score and a flag for scores ≥5 indicating elevated risk.
Price / call$0.005
Success—
StatusUnknown
How this service works
MEWS from Subbe 2001 Table 1: systolic BP, heart rate, respiratory rate, temperature (°C), and caller-assigned AVPU (alert/voice/pain/unresponsive) summed to a 0–14 total. Returns score_ge_5 because scores ≥5 were associated with increased risk of death or ICU/HDU. Deterministic published arithmetic with citation; not NEWS2; not an ICU-admission order.
Output
Returns the computed MEWS total (integer 0–14), the individual component scores for each vital sign, and a boolean score_ge_5 indicating whether the total meets or exceeds the Subbe 2001 threshold associated with increased risk of death or ICU/HDU admission.
Example use cases
ED triage deterioration flag
“My patient in the ED has systolic BP 80 mmHg, heart rate 130 bpm, respiratory rate 28 breaths per minute, temp 36.2°C, and responds to pain — run their MEWS and tell me if they're above the high-risk cutoff.”
Ward-round escalation decision
“I'm rounding on a post-op patient: BP 105 systolic, heart rate 102, respiratory rate 18, temperature 38.9°C, and they're alert — what's their MEWS and do we need to escalate to HDU?”
Automated vitals monitoring alert
“Every time vitals come in for bed 7, calculate the MEWS — right now they show systolic 95, HR 120, RR 24, temp 35.1°C, AVPU voice — flag it if the score is 5 or more.”
Technical details
Endpoint
GEThttps://api.magentlab.com/api/calc/mewsWhen to prefer
Use this endpoint when you need a deterministic, citeable MEWS score per the original Subbe 2001 Table 1 methodology — not NEWS2 or other proprietary early-warning scoring systems. Ideal for clinical decision-support agents, automated triage pipelines, or any workflow needing a peer-reviewed arithmetic calculation with a defined high-risk cutoff (≥5) rather than an ML-based prediction.
Side effects
- Missing required parameters (systolic_mm_hg, heart_rate_bpm, respiratory_rate, temperature_c, avpu) return a validation error
- Out-of-range values (e.g. heart rate outside 30–220, temperature outside 30–45°C) may return an error or boundary behavior
- Invalid AVPU enum values (anything other than alert/voice/pain/unresponsive) cause a schema validation error
- Temperature supplied in Fahrenheit instead of Celsius will produce incorrect scores without conversion
- Payment failure (insufficient USDC) returns HTTP 402
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"path": "/api/calc/mews",
"count": 2,
"items": [
{
"avpu": "alert",
"score": 0,
"formula": "mews",
"citation": {
"id": "subbe-2001",
"doi": "10.1093/qjmed/94.10.521",
"pmid": "11588210",
"title": "Validation of a modified Early Warning Score in medical admissions",
"source": "QJM. 2001;94(10):521-526",
"authors": "Subbe CP, Kruger M, Rutherford P, Gemmel L"
},
"max_score": 14,
"components": [
{
"value": 120,
"factor": "systolic_mm_hg",
"points": 0,
"present": false
},
{
"value": 80,
"factor": "heart_rate_bpm",
"points": 0,
"present": false
},
{
"value": 12,
"factor": "respiratory_rate",
"points": 0,
"present": false
},
{
"value": 37,
"factor": "temperature_c",
"points": 0,
"present": false
},
{
"value": "alert",
"factor": "avpu",
"points": 0,
"present": false
}
],
"disclaimer": "Not a medical device. Deterministic published-formula or published-code output for autonomous agents. A licensed clinician remains responsible for patient care and billing submissions.",
"score_ge_5": false,
"temperature_c": 37,
"heart_rate_bpm": 80,
"systolic_mm_hg": 120,
"respiratory_rate": 12,
"formula_expression": "MEWS = sbp_points + hr_points + rr_points + temp_points + avpu_points; Subbe 2001 Table 1; max 14"
},
{
"avpu": "alert",
"score": 0,
"formula": "mews",
"citation": {
"id": "subbe-2001",
"doi": "10.1093/qjmed/94.10.521",
"pmid": "11588210",
"title": "Validation of a modified Early Warning Score in medical admissions",
"source": "QJM. 2001;94(10):521-526",
"authors": "Subbe CP, Kruger M, Rutherford P, Gemmel L"
},
"max_score": 14,
"components": [
{
"value": 120,
"factor": "systolic_mm_hg",
"points": 0,
"present": false
},
{
"value": 80,
"factor": "heart_rate_bpm",
"points": 0,
"present": false
},
{
"value": 12,
"factor": "respiratory_rate",
"points": 0,
"present": false
},
{
"value": 37,
"factor": "temperature_c",
"points": 0,
"present": false
},
{
"value": "alert",
"factor": "avpu",
"points": 0,
"present": false
}
],
"disclaimer": "Not a medical device. Deterministic published-formula or published-code output for autonomous agents. A licensed clinician remains responsible for patient care and billing submissions.",
"score_ge_5": false,
"temperature_c": 37,
"heart_rate_bpm": 80,
"systolic_mm_hg": 120,
"respiratory_rate": 12,
"formula_expression": "MEWS = sbp_points + hr_points + rr_points + temp_points + avpu_points; Subbe 2001 Table 1; max 14"
}
]
}
}Tags
x402
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