Approval for a new therapy hinges on the integrity of clinical trial data. That means the workflow behind that data also faces stringent regulations. With several stakeholders involved, there are many potential entry points for error.
Information management has become a major pain point in clinical trial data workflows. There are tedious manual searches for data, inaccurate data entry, users bouncing between multiple systems, and data interpretation mistakes. All of which lead to not just delays in getting therapies to the patients that need them, but compliance and reputation risks to the company.
Enter automation. A transformative approach to the clinical trial data workflow.
Through the use of cutting-edge generative AI, an automated workflow removes these bottlenecks while ensuring rigorous adherence to the latest regulatory guidelines, including Good Clinical Practice (GCP) and U.S. Food and Drug Administration requirements.
To enact this innovative approach, and maximize a return on investment in clinical trial data management, enterprises can follow a structured, step-by-step approach. This new white paper by Axtria’s Clinical Solutions Team lays out this bold strategy, offering critical insights and advantages for each tactic along the way.
From building a data foundation to scaling to partnership and talent initiatives, this paper will guide you toward reshaping your clinical trial data management ecosystem.
Download the white paper today, or reach out to Axtria’s Clinical Solutions Team for an exclusive, one-on-one readout with our Clinical Solutions experts.
