AI and Patient Recruitment: Can Predictive Promise Drive True Transformation?
Applied Clinical TrialsShow Notes
Can artificial intelligence help turn what many believe is clinical development’s biggest variable — and most prevailing bottleneck — into a more predictable process? In this episode of the Applied Clinical Trials podcast, Matt Walz, CEO of Trialbee, a patient recruitment company, joins Mike Christel, group managing editor, MJH Life Sciences, to discuss how AI is enhancing medical screening, clinical workflows, and enrollment planning. The conversation explores the need for clearer regulatory expectations, human oversight, and workforce training — and why predicting enrollment costs and timelines, Walz believes, could offer one of AI’s most consequential opportunities in clinical trials. Walz also shares how Trialbee is deploying AI on both the patient-facing and operational sides of its business and explains how conversational tools are helping teams move from the world of dashboards to more specific answers.
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