Article
Applied Clinical Trials
ERT Adds Centralized Data Surveillance for Respiratory Trials
Features of the Centralized Data Surveillance include: • Assessing protocol risks, needs and key performance metrics such as site proficiency, calibration, rest between maneuvers, protocol adherence, acceptable/unacceptable Best Test Review data errors impacting the start of tests, and amount of data with repeatability issues
ERT, a global provider of patient safety and efficacy endpoint data collection, cloud analytics and workflow solutions announced Centralized Data Surveillance to support Risk-Based Monitoring in respiratory clinical research.
Features of the Centralized Data Surveillance include:
- Assessing protocol risks, needs and key performance metrics such as site proficiency, calibration, rest between maneuvers, protocol adherence, acceptable/unacceptable Best Test Review data errors impacting the start of tests, and amount of data with repeatability issues
- Analyzing endpoint data in near real-time to continuously fine-tune the monitoring strategy
- Supporting or executing an intervention plan to address risks and data deviations as they arise, targeting sites for training, on-site monitor visits and other interventions to boost data quality
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