Clinical trials now generate 5.9 million datapoints per Phase III protocol — and most sponsors are still managing them manually.
Real-time data (RTD) offers exciting opportunities to empower clinical trial teams with the trusted, actionable insight that is vital for successful and meaningful research. It allows sponsors to react quickly to bottlenecks and potential issues like deviation from study protocol––before they jeopardize trial integrity.
But, with teams already grappling with data management and analysis challenges, there are significant hurdles which need to be overcome––including analysis capacity, data integration and consistency––if the true potential of RTD is unlocked.
In a modern data environment, sponsors need to move away from old, resource-intensive and inefficient processes and adopt unified, holistic approaches to data management and analytics. The most effective way to do this is via analytics platforms which harmonize data into stable, continuous models which support reusable, scalable oversight workflows. Use of such platforms can streamline previously resource-heavy processes, improve decision-making and help sponsors not just cope with the complex data landscape of today but thrive during the next evolution in clinical trials.
