The Future of Patient Finding

Home / Intelligence / Webinars / The Future of Patient Finding

Available On Demand

Patient finding is more than a buzzword. Ready to challenge the status quo?

With more data, advancements in AIML and greater access to insights, it is not surprising that patient finding is evolving. Many pharma organizations have deep-rooted ideas about what patient finding requires, but they often miss the opportunity to put the patient at the center. 

Join Trinity Life Sciences’ experts as we debunk common misconceptions and discuss the actionable potential of patient finding throughout the drug development lifecycle. We will share real-world use cases to show how the insights and analytics derived from patient finding studies can power patient engagement strategies today and beyond. ​​​​​

Key Webinar Topics

  • Discuss the evolution of patient finding and challenge common beliefs
  • Review real-world use cases of patient finding analyses across the journey continuum
  • Consider and explore the future of patient finding through expansion of additional data sources and approaches

Featuring


Complete the form below to view the on-demand webinar.

We would contact you in accordance with our Privacy Policy, which we invite you to visit for details about our data privacy practices, including, where appropriate, how you may access and correct the personal data we store or withdraw consent to the collection, use or disclosure of such information. We will not share your email address or personal information. 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, Hype Cycle for Life Sciences Commercial Operations, Animesh Gandhi, published 13 August 2024.

GARTNER is a registered trademark and service mark of Gartner and Hype Cycle is a registered trademark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. 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

Operationalizing Generative AI in Life Sciences—Trinity Life Sciences Included in Everest Group Report

The transformative potential of generative AI (GenAI) within the life sciences industry is highlighted in Everest Group’s report, “AI-deas to Action: Operationalizing Generative AI in Life Sciences.”    Fifteen companies were selected for inclusion across three categories:  To be included in the report, providers had to have been profiled in past Everest Group PEAK Matrix® […]

 Read More

Analyst Reports

Everest Group recognizes Trinity Life Sciences as a Featured Specialist in Operationalizing Generative AI in Life Sciences

Everest Group report: AI-deas to Action: Operationalizing Generative AI in Life Sciences This research report provides a comprehensive analysis of how generative AI (GenAI) is being operationalized in the life sciences industry and assesses the capabilities of the fifteen vendors included. The report highlights several of Trinity’s key strengths, including: Life Sciences Industry Expertise Trinity […]

 Read More

Blog

Transforming Data Operations: Adding Value with an Automated, Scalable Data Foundation 

In today’s fast-paced business environment, the ability to harness data effectively can be a game-changer. Companies that can quickly integrate and analyze data from various sources are better positioned to make informed decisions, optimize operations and stay ahead of the competition.   The complexity of managing diverse data sources, ensuring data quality and maintaining consistent performance […]

 Read More