Machine Learning Application in Clinical Data Management

This case study explores how Saama's Smart Data Quality (SDQ) solution, utilizing AI and machine learning, transformed clinical data management for a leading pharmaceutical company during the COVID-19 vaccine trial. By automating data discrepancy detection and reconciliation, the SDQ solution saved over 20,000 hours and significantly reduced the time from data capture to query generation from 25.4 days to just 1.7 days, enhancing data quality and accelerating time to market.