Optimize your study design, accelerate startup, and improve in every way.
Custom feasibility solution for a large pharmaceutical company.
A large pharmaceutical company was facing long feasibility cycle times for their high priority principal investigators (PIs) and sites across their portfolio. With global studies across eight therapeutic areas and multiple CROs, analytics were extremely tedious and time-consuming — using multiple Excels, Sharepoints and emails. Data remained in silos, delaying feasibility and startup times.
Saama built a data repository that allowed the sponsor to centralize all their data — internally, as well as from CROs — in a single location. Then Saama built an analytics tool that allowed the customer to quickly identify, qualify and select countries, sites and investigators, as well as conduct ad hoc analyses.
Chief Efficiency Officer
A biotechnology company was looking for a way to search literature data from in-house and public sources including ct.gov to support the design of future studies. Additionally, relevant clinical entities needed to be extracted from the literature sources, which is typically a time-consuming and manual process.
Saama built an AI-powered literature search engine, which automated the literature search, review, and clinical entity extraction process. Users were able to see ranked lists of relevant publications — based on their search parameters — and extract medical entities such as patient population, intervention, outcomes, inclusion/exclusion criteria, diagnosis, treatment and more.
