Stanford Electronic Health Records in OMOP
STARR-OMOP is Stanford Electronic Health Record data from its two Hospitals in a Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM). Use OMOP for observational science, population health science, collaborative network studies and reproducible data science.
Standardized Data
- Standardized vocabulary
- Transparent data transformations
- High mapping rate
Improved Data Quality
- Passes hundreds of quality checks
- Custom mappings to standard ontologies, making the data more usable
Text mining
- In addition to EHR structured data, data include clinical notes and flowsheets
- Stanadardized medical concepts derived from clinical notes using text mining techniques
- Negation, experiencer, and history available
Faster Data Science
- Get pre Insititutional Review Board (IRB) access to data
- Secure data science platform integrated with data access
Team Science
- Use phenotypes developed in the broader OMOP community
- Share code using Jupyter Notebooks
Scalable science
- Participate in network studies
- Verify predictive models at other sites
Faster Learning
- Leverage learning modules developed by the OHDSI community
- Access to comprehensive gitlab code
- Slack channel based user support, hands on training, office hours