- Review completed case documentation and labeling against clinical guidelines
- Verify abstracted data against source medical records
- Correct labeling and abstraction errors
- Flag documentation that is ambiguous, incomplete, or clinically inconsistent
- Review AI-processed documentation and labeling for quality and safety
- Abstract key clinical data and label it according to guidelines
- Work across diverse records including operative notes, neuroimaging, EEG reports, and critical care documentation
Quality Assurance