Turn Data Discrepancies into Data Confidence
Strengthen your understanding of lab and imaging data validation and learn practical strategies to improve data quality, accuracy, and validation readiness.
What you'll get:
- A practical review of common operational errors, data errors, and identified discrepancies associated with lab and imaging test results.
- Real-world examples of coding, date-of-service, and result mapping issues identified during the validation process.
- Key takeaways and best practices to help improve data quality and support successful validation outcomes.
This complimentary training is part of the PSV in Practice Series and is intended for educational purposes. Examples presented are generalized scenarios derived from findings observed throughout the program and do not contain PHI or PII. Attendance does not guarantee validation outcomes. Organizations remain responsible for their own data quality, validation preparation, and compliance activities
