Aggregated Public Patient Notes from Four Datasets

Open-Patients aggregates 180,142 public patient descriptions from four open-source datasets. The National Center for Biotechnology Information (NCBI) compiled this collection, which was last updated in May 2025. Each record includes a source identifier and the extracted patient note text.

Use Cases

• Train text classification models to predict the source dataset (_id) from the description field.
• Fine-tune large language models for medical domain adaptation using the 180,142 description texts.
• Perform named entity recognition or information extraction on clinical concepts within the patient note descriptions.
• Analyze linguistic patterns and terminology across different source datasets via the _id and description fields.

Strengths

• Contains 180,142 individual patient descriptions.
• Aggregates data from four distinct source datasets, indicated by the _id field.

Limitations

• No column details beyond _id and description are provided, limiting feature understanding.
• Potential for duplication or inconsistent formatting across the four aggregated sources.
• Geographic and demographic coverage of the patient notes is unspecified.

Provenance

Source

National Center for Biotechnology Information (NCBI).

Collection Method

Aggregation of patient notes from four open-source datasets.

Time Range

null

Freshness

Last updated in May 2025.

Geography

Platform tags indicate a 'us' region, but specific coverage is null.