Home / Intelligence / Webinars / Patient Finding with AIML: Increasing Targeting Precision and Field Force Pull Through
Available On Demand
There are four key pieces to Patient Finding:
- Identifying, collating and integrating the right data
- Defining the appropriate test population
- Building the right features in the model
- Planning and executing actions once you’ve found the patients
All four are crucial to successfully find patients. Join Adrienne Lovink, Partner and Head of Real-World Evidence (RWE) at Trinity Life Sciences, as she hosts a lively discussion on the ins and outs of Patient Finding with Trinity panelists Steve Laux, Vice President of Commercial Insights & Advanced Analytics, Nabha Subramanya, Vice President of Data Science and Sri Saikumar, Associate Principal.
Key Webinar Topics
- Common challenges and pitfalls
- Mitigation strategies and tips
- Case study exploration and best practice approaches
Featuring
Adrienne Lovink
Partner & Head of
Real World Evidence
Steven Laux
Vice President, Analytics &
Head of Generative AI
Nabha Subramanya
Vice President,
Data Science
Sri Saikumar
Associate Principal,
Real World Evidence
Complete the form below to view the on-demand webinar.
By submitting this form, creating an account, and/or using our website (or using our Services) you agree to our Privacy Policy. Information provided by you is stored in our database and may be used for sending you additional information about Trinity (including Trinity’s partners and affiliates) and our products and services. Such information may be transferred for this purpose to Trinity and affiliates in other countries. If you would like to opt out in the future, please email _compliance@trinitylifesciences.com.
This webinar will be hosted within the ON24 platform, which requires the usage of Javascript and Cookies. Please see ON24’s Privacy Policy for more information.
*Gartner, Life Science CIOs: Reinvigorate Your D&A Capabilities With a Modern Commercial Intelligence Platform, Animesh Gandhi, published 13 May 2024.
GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally. All rights reserved.
Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
Related Intelligence
Blog
The Next Wave of Global AI Medical Devices: Innovation in Action
A recent bipartisan initiative by Senators Martin Heinrich, Mike Rounds, Marsha Blackburn and Todd Young urged the Centers for Medicare & Medicaid Services (CMS) to establish a formal payment pathway for algorithm-based health care services (ABHS). This move addresses the need for stable Medicare reimbursement for FDA-cleared AI and machine learning (ML) medical devices, which […]
Read More
Webinars
Human Centered Design Approach to GenAI for Life Sciences
Available On Demand
We need to think through not just whether GenAI works, but how we make it usable for people and impactful for our business… The next webinar in our “Making AI Real” webinar series will focus on people, process and technology—three interconnected components that are key to successful GenAI implementation. Join Trinity Life Sciences’ GenAI experts […]
Watch Now
Case Studies
HCP-level Site Alert Predictions
Trinity was able to develop an advanced machine learning algorithm to predict potential site alerts for HCPs in the target universe
Read More