Wells PE Score (Pulmonary Embolism)
Score all seven Wells criteria with point-by-point breakdown to classify PE pre-test probability as low, moderate, or high.
Use the Wells PE Score (Pulmonary Embolism)
Clinical Criteria
Check all that applyEach criterion shows its point value and clinical definition.
Point Breakdown
| Criterion | Points |
|---|---|
| Total | 0 |
Wells Score
Recommended Next Step
Check criteria on the left to see the recommended workup.
Score Reference
For educational and clinical reference only. All diagnostic decisions must be made by a licensed clinician.
Summary
The Wells PE Score calculator applies the original Wells criteria scoring system to estimate the pre-test probability of pulmonary embolism (PE). It assigns weighted points (1.0, 1.5, or 3.0) to seven clinical variables and stratifies patients into Low (< 2), Moderate (2–6), or High (> 6) probability tiers. Each criterion includes its clinical rationale to support bedside teaching and documentation. The tool also displays a per-criterion point breakdown so clinicians can audit the score at a glance.
How it works
- Read the clinical definition shown beneath each of the seven criteria.
- Check every criterion that is present in the patient being evaluated.
- Points are summed automatically and displayed in the score panel on the right.
- The risk tier (Low / Moderate / High) updates in real time based on the total.
- Review the recommended next diagnostic step shown under the risk badge.
- Click Reset to clear all checkboxes and start a new evaluation.
Use cases
- Stratify PE pre-test probability in the emergency department or inpatient ward.
- Decide whether D-dimer testing is sufficient or CT-PA is required.
- Teach Wells criteria point values to medical students and residents.
- Document objective risk stratification in clinical notes.
- Cross-check bedside impression against a validated scoring rubric.
- Use alongside PERC rule for low-risk PE rule-out workflows.
- Compare original (weighted) scoring with simplified (1-point-per-criterion) model.