Centralized statistical monitoring (CSM) is a way to look at data to detect any abnormalities and risks that were unexpected and unlikely to be detected via KRIs. What type of graphics are available, and how can one interpret the various graphical displays of the data. What are the skills required of the staff reviewing those graphs? We will demonstrate what such a CSM functionality can provide to the study data quality and patient safety.
Chapters:
0:00 Webinar Introduction
1:20 Speakers Introduction
2:57 Agenda
6:49 The Beauty of CSM
11:58 Concerns Related to Centralized Statistical Monitoring
21:29 Most Important Features in RBQM Implementation
23:57 What Types of Graphics Are Available in CSM?
26:10 Levels of Analysis
29:07 CSM Detection Expectations
33:48 What Skills Are Required?
37:06 CSM System Demo
39:33 In-Study Comparison (Demo)
41:32 Detecting Data Outliers (Demo)
44:33 Identifying Data Distribution (Demo)
46:31 Bilirubin & Creatinine Example (Demo)
49:53 IQR Method With Boxplot (Demo)
50:41 Glomerular Filtration Rate & Creatinine Clearance Example (Demo)
53:32 ECG Interval Deviation Example (Demo)
56:48 Actions Based on CSM Findings
59:09 Q&A
About the workshops: mindsON Central Statistical Monitoring is a series of workshops that provides practical advice on the challenging aspects of evolving to a new way of working through a phased program approach. Each workshop allows room for interactive dialog and problem-solving exercises. We invite you to share your own experiences and participate in the interactive dialogue. If you prefer to listen and observe, that's okay as well.
Learn more: cyntegrity.com/webinars/
5 авг 2024
