Saama Launches AI Tool that Automates Data Quality Checks
Data quality co-pilot considered the first of its kind.
Saama, an artificial intelligence (AI) solutions provider, has introduced a data quality (DQ) co-pilot, a feature embedded directly into its Smart Data Quality (SDQ) tool, that quickly generates code for simple to complex, cross-domain data quality checks and tests them using generative artificial intelligence (GenAI). According to the company, the product has the potential to significantly accelerate clinical development by eliminating the need to manually program, test, and deploy data quality checks.
“Generative AI and its application in clinical data management is transforming our approach to the visualization and analysis of clinical trial data,” said Malaikannan Sankarasubbu, VP, AI Research, Saama. “The time and effort saved using Saama’s embedded DQ co-pilot is empowering clinical development by enabling faster trail setup and giving precious time back to data managers. This time can be used to support more studies and focus their talent on higher-value activities, all with the goal to get new treatments to patients more quickly.”
Reference: Saama Introduces Industry’s First Generative AI Tool to Automate Data Quality Checks. Saama. September 19, 2023. Accessed September 20, 2023. https://www.saama.com/news/saama-introduces-industrys-first-generative-ai-toolto-automate-data-quality-checks/
Improving Relationships and Diversifying the Site Selection Process
April 17th 2025In this episode of the Applied Clinical Trials Podcast, Liz Beatty, co-founder and chief strategy officer, Inato, discusses a number of topics around site engagement including community-based sites, the role of technology in improving site/sponsor relationships, how increased operational costs are impacting the industry, and more.
