Powered by SAS Viya, a cloud-enabled memory analysis engine that provides fast, accurate and reliable analytical insights.
ML algorithms to identify sites that are most likely to perform better or worse during the clinical study.
Faster processing of large amounts of data and more complex analysis for faster study management.
Monitoring sites based on data.
It identifies centres that perform best in meeting protocol times.
Improves collaboration in the study, allowing better visibility on critical cross-site data, comparing trends and patterns, qualitative and quantitative kpis.
It reduces manual processes, reducing the burden on study teams and potentially lowering study costs.