Machine Learning: Accelerating Submission Time for Clinical Trials

Presented by

Anne Lifton

About this talk

Clinical trials are an essential process that requires considerable time and resources to safely ensure new treatments are readily available to those who need them. Organizations must deal with complex operations in order to safely get their products to market, including pulling insights from hundreds of documents and make substantial investments. Time to submission is a critical metric that determines how competitive a company can be in the ever-changing landscape of pharmaceutical and medical device innovation. From discovery to post-marketing trial, each phase can take years before the treatment reaches patients. Fortunately, technology has evolved to provide new, innovative solutions that support and streamline clinical trial operations. In this webinar, we will guide you through our four-step method to reduce time to submission through machine learning and automation. With experience in this space, Logic20/20 has created a strategic model to help organizations accelerate treatments to market and gain a competitive advantage. Each of the 'four pillars' addresses the following pain points: - Rapid submission - Awareness of documents - Visibility of progress - Enforcement and reducing repetition By using machine learning in a product management mindset, you can get your treatments to market quickly and efficiently.
Related topics:

More from this channel

Upcoming talks (0)
On-demand talks (36)
Subscribers (6535)
We have been solving large-scale, complex digital business strategy challenges for over thirty years. Our solutions are designed to evolve with an ever-changing digital landscape. What makes us different? Primitive Logic’s unique, time-tested approach applies mindfulness to digital transformation. Cut through the noise to empower your business to thrive in the rapidly changing digital world.