While routinely connected via APIs, leading eclinical applications are still discrete, requiring manual intervention to extract valuable insights. The shift toward risk-based monitoring (RBM) especially depends on more real-time data access and analysis.
Goals and Objectives
By integrating individual applications into a comprehensive eclinical solution, data across applications can more transparently extract safety and efficacy insights that can accelerate trial progress and protect patients.
– DX — shifting from individual apps to comprehensive platform solutions
– Predictive analytics
– Automated workflows
– AI, including natural language processing (NLP), robotic process automation, and cognitive computing
Use Case Summary
While best-of-breed apps remain a requirement for pivotal late-stage trials, most sponsors seek the optimal process efficiencies and data transparency delivered through a comprehensive platform solution.