How Generative AI and Chat GPT Together with Intelligent Document Review Can Help Pharma Accelerate Filings

Self-Driving Clinical Trials are obviously a way off as they are often complicated and unique, much like a trip taken in a ‘self-driving’ car.

However, on the journey to this level of capability there are infrastructure, platform and process improvements that technology can bring today that allow you to build on that philosophy and ensure you are providing the fastest trials and filings that you can.

This webinar will take you on that journey. We will highlight current solutions, what it takes to continue to improve using both structured and unstructured content, and how over time you can build the plug and play tools that cover the time, efficiency and quality metrics you need to work smarter, mitigate risk, and demonstrate Good Clinical Practice (GCP)—all while saving the enterprise valuable time and money.

Register Free: https://www.appliedclinicaltrialsonline.com/act_w/hidden-data

Event Overview:

The Inflation Reduction Act has increased pressure on the pharmaceutical industry to speed more products to market—a tall order in an environment where even a single filing critical error can cause months of delays. Pharma has to work smarter, faster and more efficiently and this is where artificial intelligence (AI) can help.

During this session, attendees will learn how to avoid these delays by using AI to tap into the “hidden” information generated in a clinical trial that manual review can’t capture.

As a result, pharma can get to clinical trial close-out faster and regulatory filing with greater speed and precision than ever before, bringing more products to market at a time when they are needed most.

Three key take-aways:

• Why manual review is no longer sufficient or sustainable in today’s environment
• How to stay ahead of the curve by positioning today’s enterprise for tomorrow’s AI solutions
• How to use AI to animate hidden content in various clinical workflows, generating faster filings with higher quality

Speakers:

Gary Shorter
Head, AI and Data Science
IQVIA Technologies

Gary pursues the use of emerging technology to provide new and more efficient capabilities to enhance clinical trial management. This includes development of new design software through to more recent advancements with AI/ML capabilities where his team has developed several micro-products and micro-services that can be plugged in and used by any SaaS solution.

Dimitrios Mizantzidis
Director Product Marketing CDAS
IQVIA Technologies

Dimitrios leads marketing for the Clinical Data Analytics Suite (CDAS) for IQVIA Technologies. He is passionate about solving customer data analytics needs via easy to understand and implement SaaS solutions. Prior to joining IQVIA Technologies in November ‘22, Dimitrios led several marketing teams with other Healthcare IT companies such as GE Healthcare IT and 3M Health Information Systems.

Register Free: https://www.appliedclinicaltrialsonline.com/act_w/hidden-data