Saama announced the release of several groundbreaking features within its AI-driven platform, including generative AI (GenAI) chat and interactive review listings (IRL), creating an unparalleled, workflow-driven environment for cross-functional collaboration. For the first time, users can ask questions of their data in natural language, and instantly receive responses – eliminating costly data analysis delays. Additionally, data management and medical review teams can now work together in a single system to complete comprehensive data reviews from start to finish.
“Outdated approaches to clinical development are delaying treatments from making it to market, and ultimately patients,” said Lisa Moneymaker, Chief Technology Officer and Chief Product Officer, Saama. “These cutting-edge features embedded within the Saama platform create a collaborative environment where AI can quickly surface insights and drive users to action. The result is the breakdown of operational silos and the acceleration of development timelines.”
Saama is fundamentally changing how drug development is done by integrating pioneering innovations into its award-winning platform. New features and enhancements now available include:
- Interactive Review Listings (IRL): Data managers, medical monitors, and vendors can now work together in a single environment to complete comprehensive data reviews from start to finish. Powered by AI, Saama’s platform allows study teams to access and review the data they need without waiting for programmers. With IRL, users can create custom listings using GenAI, and track all queries in a single location, regardless of source. Users can also collaborate with their teams by assigning tasks, raising and inspecting queries, and managing vendors all in one place.
- Data Quality (DQ) Co-Pilot: Is a first-of-its-kind GenAI feature embedded within Smart Data Quality (SDQ) that eliminates the need to manually program, test, and deploy data quality checks. Data managers can describe their desired DQ check, and DQ Co-Pilot will generate accurate code and test data in seconds.
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- Chat for Patient Insights: Another breakthrough GenAI innovation, chat allows medical monitors to ask questions of their data in natural languages and receive the data they need in seconds. Medical monitors can quickly create custom listings without programmers or coding knowledge, saving weeks on data analysis.
- Data Hub: Users can now apply different data standards by study, manage blinded datasets, as well as leverage Saama’s advanced, AI-driven data mapping feature for faster data standardization. This makes Data Hub an even more powerful tool for centrally managing clinical trial data.
- Operational Insights: An all new interface allows executives and portfolio managers to quickly drill-down from high-level dashboards to study-level data on a single screen. The intuitive interface allows users to easily identify KPIs of interest and brings together data from multiple source systems in a single view.
When using Saama’s innovative solutions, clinical trial sponsors and contract research organizations reduce the time from data capture to query generation by nearly one month and reduce the time to generate a single query by 90%.
“At Saama, we are committed to fostering innovation so that we may best support the complex needs of, and ultimately deliver value to, our customers,” said Avi Kulkarni, Chief Customer Success and Growth Officer. “The continued evolution of the Saama platform provides the foundational tools to modernize R&D and allow clinical development teams to do what they do best – gain insights from data to drive medical breakthroughs.”
By applying AI and advanced analytics to key clinical development processes, Saama’s platform eliminates manual, resource-intensive activities, allowing life science organizations to optimize productivity as well as gain deeper insights into patients’ behaviors and their real-time response to treatments.
SOURCE: BusinessWire
