Commentary|Videos|September 10, 2025
Ensuring Digital Trial Platforms Work for Underserved Communities
Author(s)Andy Studna, Senior Editor
In this video interview, Adrianne Rivard, senior community development manager at myTomorrows, highlights how combining AI platforms with patient navigators can make trial-finding tools more equitable and accessible across diverse healthcare settings.
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In a recent video interview with Applied Clinical Trials, Adrianne Rivard, senior community development manager, myTomorrows, discussed the challenges physicians face in identifying clinical trials. Highlighting insights from a recent myTomorrows report on the need to streamline clinical operations, Rivard touched on the use of artificial intelligence (AI) to streamline pre-screening, which can reduce the need for multiple databases. She also discussed how AI tools are gaining use, necessitating compliance with data privacy standards and ongoing education to build trust among physicians.
ACT: How can clinical operations leaders ensure that these digital trial-finding platforms are equitable and effective across diverse healthcare settings, especially for underserved populations?
Rivard: Also a really important question, because I feel like there's a huge gap in access for underserved communities, and this can be access to information and access to treatments, access to support, even, and I think at myTomorrows how we're trying to address this is not only are we a tech company, but we're also a service-led company, so we have a team of patient navigators that provides hands on support for patients, but also physicians through this search and referral process. I think that this personalized support is really trying to bridge that gap in understanding and access, especially for these underserved communities. We really feel like this combination of technology, but also having this human touch, is really important.
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