TrialChat: Co-Designing Agentic AI for Alzheimer's Clinical Trial Engagement

TrialChat: Co-Designing Agentic AI for Alzheimer's Clinical Trial Engagement

Wednesday, March 11, 2026 12:45 PM to 1:15 PM · 30 min. (US/Pacific)
HIMSS Connect Sky Theater | Level 2 | Hall B | Booth 2016
HIMSS Connect
Artificial Intelligence in Healthcare

Information

Older adults remain underrepresented in Alzheimer's disease and related dementias (ADRD) clinical trials despite bearing much of the disease burden. TrialChat is an AI-powered digital navigator addressing this gap through a conversational chatbot powered by an agentic AI framework and machine learning-based trial matching algorithm. Developed by S-3 Research LLC and CSU Fullerton, and supported by the U.S. National Institute on Aging under the NIH AITC program, TrialChat delivers personalized education and clinical trial recommendations via web and mobile platforms. What distinguishes TrialChat is its co-design approach: older adults and caregivers directly shape its language, flow, and features, elevating voices often overlooked in digital health while designed for commercialization and real-world application. This session shares TrialChat's architecture, early insights, and lessons for scaling inclusive, AI-enabled clinical trial engagement tools across health systems.

Target Audience
Advocacy Groups Focused on Patient, Family Member, or CaregiverAI ProfessionalAllied Health ProfessionalChief Data OfficerChief Digital Officer/Chief Digital Health OfficerChief Innovation OfficerChief Quality Officer and Chief Clinical Transformation OfficerCIO/CTO/CTIO/Senior ITCISO/CSOClinical InformaticistClinical TechnologistCMIO/CMOCNIO/CNOData ScientistInformation Management ProfessionalIT ProfessionalLife Sciences ProfessionalManagement Engineering or Process Improvement ProfessionalMilitary Health ProfessionalPhysician or Physician’s AssistantPopulation Health Management ProfessionalPublic Health PractitionerQuality ProfessionalResearch and Development ProfessionalVP of other IT/IS Department
Level
Introductory
Format
Case Study
Session #
HC2-11

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