Respiratory Drug Development: Comprehensive Strategies to Improve Data Quality Webinar Replay
This webinar explores how these principles apply specifically to respiratory clinical trials, an area where data variability and test-dependent reliability are critical for optimal study outcomes. The featured speakers share study‑level and site‑level strategies for ensuring superior data quality, including centralized review models that enable standards‑based feedback, early and ongoing quality assessments, proper training and contemporaneous data quality review activities that offer deeper insight into data validity beyond ATS/ERS criteria alone. They emphasize test-level spirometry performance characteristics that are critical in assuring that test results accurately reflect your study participants’ physiologic state. These processes not only support trial performance in real time but also strengthen confidence that the collected pulmonary function data accurately represent true physiological status.
Watch this webinar on-demand to learn how respiratory drug development teams can strengthen spirometry oversight and improve respiratory endpoint data quality.
What you’ll learn:
- Understand the key elements that affect data quality for respiratory endpoints, and why high data quality is essential
- Learn techniques to monitor for data quality issues
- Increase awareness of key requirements at spirometry test acquisition to assure clinical trial-ready data quality and accuracy
- Review key elements of proper training to reduce variability from the start across diverse testing sites
