MedicalRiskScore

MedicalRiskScore is a MedicalRiskEstimator subtype for explicit-formula risk scores. It adds 1 direct property:

algorithm (Text): the algorithm / formula used to compute the score.

Use MedicalRiskScore (not MedicalRiskEstimator) when the calculation is a well-defined scoring rule rather than a regression model — CHA₂DS₂-VASc, Wells score, MELD, APACHE II.

Full example of schema.org/MedicalRiskScore json-ld markup

The markup is verified as valid with Rich Results Test from Google.

Highlight legend:Required by GoogleRecommendedOptional

schema.org/MedicalRiskScore

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "MedicalRiskScore",
  "name": "CHA₂DS₂-VASc Score for Stroke Risk in Atrial Fibrillation",
  "description": "Clinical scoring rule estimating annual stroke risk in patients with non-valvular atrial fibrillation; guides anticoagulation decisions.",
  "estimatesRiskOf": { "@type": "MedicalCondition", "name": "Ischaemic stroke (in atrial fibrillation)" },
  "includedRiskFactor": [
    { "@type": "MedicalRiskFactor", "name": "Congestive heart failure" },
    { "@type": "MedicalRiskFactor", "name": "Hypertension" },
    { "@type": "MedicalRiskFactor", "name": "Age ≥ 75 (2 points)" },
    { "@type": "MedicalRiskFactor", "name": "Diabetes mellitus" },
    { "@type": "MedicalRiskFactor", "name": "Prior stroke / TIA / thromboembolism (2 points)" },
    { "@type": "MedicalRiskFactor", "name": "Vascular disease" },
    { "@type": "MedicalRiskFactor", "name": "Age 65-74" },
    { "@type": "MedicalRiskFactor", "name": "Sex category (female)" }
  ],
  "algorithm": "Sum integer points from each of 8 criteria (two criteria score 2 points). Scores: 0 (low risk, ~0.2%/yr); 1 (intermediate, ~0.6%/yr); 2+ (high, ≥2.2%/yr — consider anticoagulation).",
  "relevantSpecialty": ["https://schema.org/Cardiovascular", "https://schema.org/Neurologic"]
}
</script>

Minimal valid version

The smallest markup that still produces a valid MedicalRiskScore entity. Use it as the floor. Reach for the advanced example above when you want search engines and AI agents to understand more about your content.

schema.org/MedicalRiskScore (minimal)

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "MedicalRiskScore",
  "name": "CHA₂DS₂-VASc",
  "algorithm": "Sum weighted integer points across 8 clinical criteria."
}
</script>

Google rich results this unlocks

Markup matching this example makes your page eligible for the following Google Search rich results. The primary target drives the required / recommended property classification in the advanced code block above.

No dedicated rich result (clinical-calculator graphs)
Google docs

Common MedicalRiskScore mistakes

Mistakes that pass validation but silently fail to earn rich results or mislead consumers walking the graph. Avoid these and your markup will be ahead of most sites in the wild.

01
Missing algorithm on a scoring rule
Wrong
```
MedicalRiskScore with no algorithm
```
Right
```
Always populate the algorithm text — the point of the subtype
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MedicalRiskScore exists specifically to carry the explicit scoring rule; without it, use MedicalRiskEstimator.

Schema properties in this example

MedicalRiskScore MedicalRiskEstimator MedicalEntity name description estimatesRiskOf MedicalCondition includedRiskFactor MedicalRiskFactor algorithm relevantSpecialty MedicalSpecialty Cardiovascular Neurologic

About the example data

The CHA₂DS₂-VASc score for stroke risk in atrial fibrillation.

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