Validated Pulmonary Embolism Identification Tools

De-identified data supports the PE-EHR+ study, which validated efficient tools for identifying pulmonary embolism cases from electronic health records. The study was led by Dr. Behnood Bikdeli and funded by the American Heart Association and Vascular InterVentional Advances Physicians. The dataset was last updated on March 31, 2026.

Use Cases

• Validate predictive models for pulmonary embolism diagnosis using EHR-derived patient features.
• Benchmark the performance of different identification tools against a validated clinical cohort.
• Analyze temporal patterns or risk factors associated with pulmonary embolism events within EHR data.

Strengths

• Data is validated for clinical research purposes, supporting tool development.
• Dataset is de-identified, facilitating secondary analysis for research.

Limitations

• Unknown sample size and feature set limit reproducibility assessment.
• Geographic and institutional origin of the EHR data is unspecified, potentially limiting generalizability.

Provenance

Source

Harvard Dataverse, contributed by author SINA Rashedi.

Collection Method

Derived from electronic health records for a clinical validation study.

Time Range

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Freshness

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Geography

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