Data Visualization: Create dashboards and visual analytics tools for visualization of clinical data to help leaders quickly understand complex data sets at a glance.
Data Analysis Reports: Build analytical reports aiding data review tasks, covering areas such as safety monitoring, clinical study progress tracking, treatment efficacy evaluation, and extensive data analysis.
Pattern Identification in Data: Detect trends in data to optimize clinical trial processes using unsupervised machine learning techniques.
UAT (User Acceptance Testing): Generate reports that assist in the UAT process, aiming to decrease the duration of UAT from several days to just a few hours.