Evaluating an Artificial Intelligence-Based Diagnostic Support Tool for Older Adults in Primary Care

Older adults commonly experience diagnostic errors that may lead to direct harms and increased healthcare costs. Older adults are especially at risk because of higher rates of comorbidity burden, medical complexity, frailty, and cognitive impairment. An artificial intelligence (AI) clinical decision support system (CDSS) offer a promising approach to promote diagnostic excellence for older adults. The purpose of this study is to assess the acceptability and feasibility of a new AI CDSS for older adults in primary care. The goal of this AI CDSS is to provide diagnostic support during primary care visits (i.e., help make timely and accurate diagnoses) and support communication amongst patients, doctors, and caregivers about the patient's health. In this study, participants will use the AI CDSS in a primary care visit and review its suggestions for diagnoses and tests. Afterwards, they will complete a feedback survey and interview where they share their thoughts about and experience using the AI CDSS.

NCT Number	NCT07553559
Lead Sponsor	University of Pennsylvania Collaborators: Penn Artificial Intelligence and Technology (PennAITech) Collaboratory for Healthy Aging, National Academy of Medicine (NAM)
Conditions	Diagnostic Support
Enrollment	40 participants
Start Date	2026-08
Primary Completion	2026-11 (estimated)
Study Completion	2026-11 (estimated)
Updated on ClinicalTrials.gov	2026-07-10