Defining Statistical Analysis Plans (SAP) and providing statistical support to clinical studies requires access to complete, accurate, and up-to-date data from a variety of sources. Saama makes it easier to compare data across patients, sites, and studies so you can track and resolve deviations from the SAP.
- Eliminate manual work through automatic data change highlighting
- Quickly identify adverse events at the study, country, site, and patient level
- Gain a fuller picture of your cohorts through the ability to visualize trends, identify outliers, and access actual test results
Smart Programming and Analysis Computing Environment (SPACE)
Gain the flexibility to use your preferred editing tools for more efficient and effective collaboration in a secure and validated environment. Simplify study setup, process implementation, and job management for both exploratory analysis and regulatory submission.
Active Safety Analytics for Pharma (ASAP)
Use real-world data (RWD)—healthcare claims and electronic medical records (EMR)—to find associations between any drug in the marketplace and patient outcomes. Just like the FDA’s Sentinel Initiative, ASAP leverages an advanced statistical (TreeSCan) methodology to unlock specific safety signals from billions of records in the health profiles of millions of patients.