Healthcare EHR Access Logs for Insider Threat Detection

A dataset for detecting malicious behavior, unauthorized access, and anomalies in Electronic Health Record systems. It was sourced from Kaggle, but the author, organization, and specific collection details are unknown. The last update date and dataset size are not provided.

Use Cases

• Train models to detect malicious behavior based on EHR access patterns.
• Identify unauthorized access attempts based on log anomalies.
• Develop systems for insider threat detection in clinical environments.

Strengths

• Focuses on a specific, high-impact domain of healthcare security.
• Platform tags indicate relevance for security and anomaly detection tasks.

Limitations

• Row count and file size are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

Kaggle