HIV EHR Dataset: 470,295 Patient Records for Healthcare AI

A collection of 470,295 real-world HIV patient records from clinical and treatment environments. The dataset, created by InfoBayAI, is intended for developing healthcare AI systems and clinical decision support tools. It was last updated on June 8, 2026.

Use Cases

• Training disease progression models based on longitudinal patient monitoring data mentioned in the description
• Developing treatment management algorithms based on structured clinical records
• Building predictive tools for laboratory measurement outcomes
• Supporting healthcare research applications with a large-scale clinical dataset

Strengths

• Contains 470,295 patient records, indicating a large scale
• Based on real-world clinical records from healthcare environments
• Specifically designed for advanced healthcare AI system development

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Description metadata is limited; actual data quality requires manual inspection after download

Provenance

Source

InfoBayAI

Collection Method

Collected from healthcare and treatment environments, according to the description.

Freshness

Last updated 2026-06-08 07:00:40; freshness should be verified