Going Beyond ATS/ERS 2019 Guidelines for Your Respiratory Clinical Trials Webinar Replay
Clario, a leader in clinical research technology, has been initiating a more focused approach to ensure respiratory data accuracy within clinical trials. By introducing data plausibility as an additional quality step, data anomalies can be identified early on, thus mitigating risks and accelerating drug development timelines.
In this webinar replay, the speakers will explore the following topics:
- Limitations of traditional adherence to ATS/ERS enforced spirometry standards
- Role of data plausibility in enhancing data accuracy and reliability
- Impact of data plausibility on identifying inconsistencies and aberrant treatment effects
- Potential of embedding data plausibility within AI functionality to drive high-quality data
- How improved data quality can accelerate drug development, reduce costs and enable better development decisions for personalized medicine
