clmbr-t-base
| Property | Value |
|---|---|
| Author | StanfordShahLab |
| License | EHRSHOT Credentialed Health Data License |
| Access Requirements | CITI Training Certificate |
What is clmbr-t-base?
clmbr-t-base is a specialized healthcare AI model developed by Stanford's Shah Lab, designed for processing and analyzing Electronic Health Record (EHR) data. This model represents a significant advancement in healthcare AI, requiring strict credentialing and ethical compliance for usage.
Implementation Details
The model operates under specific access controls and ethical guidelines, requiring users to complete CITI training certification in 'Data or Specimens Only Research'. Access verification is managed through PhysioNet's verification process, ensuring responsible usage in healthcare research.
- Requires verified CITI training certificate
- Follows PhysioNet's credentialing process
- Implements strict ethical usage guidelines
- Specialized for EHR data analysis
Core Capabilities
- Electronic Health Record (EHR) data processing
- Secure healthcare data analysis
- Compliant with healthcare data regulations
- Research-focused implementation
Frequently Asked Questions
Q: What makes this model unique?
The model's uniqueness lies in its specialized focus on healthcare data analysis combined with strict access controls and ethical guidelines. It represents a secure and compliant approach to AI in healthcare research.
Q: What are the recommended use cases?
The model is designed for research applications involving EHR data analysis, specifically where CITI-certified researchers need to process healthcare information in a compliant and ethical manner. It explicitly prohibits experiments that could cause harm to human subjects.
