Synthetic Healthcare Records With Financial Outcomes

Over 3 million synthetic records combine clinical, financial, and patient outcome data. The dataset is hosted on Kaggle and contains artificial data designed for analytics. Its creator and last update date are unknown.

Use Cases

• Predict financial outcomes from synthetic clinical features like diagnosis codes or lab results.
• Analyze correlations between synthetic patient demographics and treatment costs.
• Train models to identify patterns linking clinical procedures to synthetic financial outcomes.
• Benchmark privacy-preserving algorithms on synthetic clinical and financial data.

Strengths

• Contains over 3 million synthetic patient records
• Integrates clinical, financial, and outcome data types in one collection

Limitations

• All data is synthetic, limiting real-world applicability
• Unknown sample size per record type and potential class imbalances
• Geographic and temporal coverage are unspecified

Provenance

Source

Kaggle

Collection Method

Artificially generated