Chinese Healthcare Corruption Criminal Judgments from 2019 to 2025

573 criminal judgments involving 787 defendants, retrieved from China Judgments Online in January 2026, form a sample of judicially visible healthcare corruption. The data was compiled by Zhiling Shen using an explanatory sequential mixed-methods design, with judgments dated from September 2019 to December 2025. It clusters cases into three main categories and analyzes risk points, penalties, and institutional mechanisms.

Use Cases

• Analyze typologies of healthcare corruption based on the three main case categories described (pharmaceutical/clinical commercial bribery, embezzlement, medical insurance fraud).
• Identify high-risk nodes in healthcare systems based on the concentration of cases in procurement, medical insurance auditing, and in-hospital finance.
• Study sentencing patterns and penalties based on the reported median principal penalty, probation, fine, and recovery rates.
• Examine institutional mechanisms of corruption based on the described coupling of gatekeeping authority, supplier inducement, and professional discretion.

Strengths

• 573 criminal judgments provide a reproducible sample for analysis.
• The data covers a specific time range from September 2019 to December 2025.
• The study design includes both descriptive statistical analysis and embedded multiple-case analysis.

Limitations

• The dataset is a 164.6 KB PDF, suggesting limited raw data scope; the underlying structured data is not directly provided.
• Row count for the original coded data is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred from the PDF description.

Provenance

Source

China Judgments Online, retrieved by the author.

Collection Method

Explanatory sequential mixed-methods design involving retrieval, screening, structured coding, and embedded multiple-case analysis.

Time Range

Judgments dated from 2019-09-01 to 2025-12-31, retrieved in January 2026.

Freshness

Last updated 2026-05-18 05:43:16; freshness should be verified.

Geography

China