Time: 8:00am PDT, 11:00am EDT, 4:00pm BST, 5:00pm CEST
Duration: 220 minutes
Natural language processing is a powerful technology that is being applied in new and innovative ways across healthcare and life science.
Join our in-person seminar series to hear about the advances in NLP and machine learning techniques being applied within healthcare, pharma, and government organizations. Learn about new applications for leveraging NLP to unlock key insights from unstructured text to improve patient outcome, safety assessment, brand awareness, and more.
The seminar will focus on topics such as precision medicine, risk adjustment, population health as well as generating high-quality data and insights for drug discovery, safety, regulatory and medical affairs teams.
During this one day seminar, there will be customers’ use case presentations using IQVIA NLP, product updates and IQVIA overview along with networking opportunities with your peers and IQVIA NLP Experts, knowledge sharing and hands-on learning.
The final agenda will be available in the weeks ahead but use cases will cover:
- Providers & Health Systems, Payers & Insurance Companies
- Pharma discovery, safety, regulatory, and medical affairs
Who should attend:
- Current customers – we would love to say hi in person and show you our latest solutions
- Researchers, scientists, product teams, clinicians
- Data scientist, technical architect, executive in innovation, analytics quality or data role working with lots of unstructured data
- Anyone struggling to get the information you need from volumes of unstructured record and texts
This event we will be a good opportunity to learn about Innovative NLP Solutions and how others use NLP to solve their data challenges.
Innovating with AI: digital transformation for safety and regulatory affairs by Jane Reed, Director NLP Safety & Regulatory at IQVIA
The pharmaceutical industry is one of the world’s most heavily regulated industries, and the traditional document-centric approach poses challenges in terms of efficiency, cost and value. The ever-increasing volume of safety records and relevant regulatory data mean companies need tools and solutions to assist with safety and regulatory processes. Many companies are looking to innovative new technologies to transform document-driven processes to data-driven ones. In this session, we will discuss the potential that innovative NLP can bring, for digital transformation, automation, and human-in-the-loop augmented intelligence, presenting use cases from the FDA and top pharma.
Three ways NLP brings value to Medical Affairs, Real-World & Commercial teams by Hywel Evans, Director NLP for Medical Affairs & Commercialization at IQVIA
There is a huge amount of valuable text and document-based information available to medical and commercial teams, but it is often a challenge to work with. From notes captured by field teams that capture the unmet needs of physicians, patient perspective online, to the latest scientific literature and congress abstracts, this data can inform content development, medical and commercial strategy, competitive insights and more. Join us to hear about three examples of applied AI and NLP to unlock these invaluable data sources.
Accelerating Drug Development with NLP by Constantinos Kateatis, Associate Director NLP R&D at IQVIA
The growing document volume and varied data sources in drug development is a constant challenge. Natural language processing (NLP) technologies are key to efficiently keep up with the latest information. Generate insights 10-100x faster by combining new innovative large language models (LLMs) with established methods for a range of drug development tasks, including target identification, target prioritization, clinical trial design, and more.
Navigating the landscape in Healthcare NLP - potential and pitfalls by Calum Yacoubian, Director NLP Healthcare Strategy at IQVIA
The value of text and the ability to generate impactful insights from it has never been more widely accepted than now. This is thanks in large part to the recent explosion of activity around large language models and generative AI. In this talk, we will go over the areas in which healthcare based textual data holds huge promise for healthcare organizations, and the importance of choosing the right tool for the job when it comes to extracting information from these complex data.