Xtalks — The Life Science Community™, Online webinar
2026-12-02
Applied AI and electronic health records (EHR) can strengthen patient recruitment by improving patient identification and providing clinical trial sites with a consolidated view of candidate eligibility. Connecting these capabilities within the recruitment workflow can improve targeting and reduce the time sites spend gathering records and reviewing information. This webinar explores how integrating EHR capabilities with applied AI can improve recruitment efficiency, referral quality and site screening processes. An integrated recruitment approach can combine EHR-based patient identification with information from disease communities, labs, genetic testing providers, pharmacies and other recruitment partners. Medical record retrieval and protocol-specific clinical analysis can further support patient identification and eligibility assessment. Applied AI can consolidate information from initial patient self-assessments, secondary screening, available medical records and other relevant sources. AI-generated candidate summaries bring together clinical findings and eligibility calculations into an actionable view, helping sites access supporting evidence and reducing the need for manual record review, while investigators retain responsibility for final eligibility decisions. Beyond the recruitment workflow, the featured speakers will share practical, non-technical guidance on integrating AI, platforms and vendors. The discussion will cover integration planning, team handoffs and common pitfalls that can create additional work or leave useful information disconnected. Attendees will gain a clearer understanding of how to connect recruitment channels, clinical evidence and applied AI to support more effective patient identification and informed site decisions. Register for this webinar to learn how applied AI and EHR integration can streamline patient recruitment, improve candidate screening and reduce administrative burdens on clinical trial sites.
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