Lupus is a complicated disease, characterized by an aggregation of symptoms, which can vary from patient to patient and makes diagnosis difficult. For clinical research, this variability in the manifestation of the disease also increases complexity of data collection.
Documentation requirements for a lupus research study are extensive – far more than a typical patient medical chart. And data variability can obscure the ability to detect improvement in disease activity.
Tune in to understand how to manage the complexity of assessments and data management in lupus investigations. Learn the value of a centralized environment for clinical research teams to collaborate more easily.
Key Learning Objectives:
- Get the latest on trial enhancements that help eliminate transcription errors
- Ease the burden on clinical trial staff by immediately validating data at the time of capture – reducing workload and improving quality
- Discover how to manage the complexity of assessments and data management in lupus investigations