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

Study acronym: INTERLACE
StatusNot Yet Recruiting
PhaseNot applicable
Started
View on ClinicalTrials.gov ↗
Trial flagged as At Risk
Primary completion moved at least 32 days later Nov 2026 → Jan 2027
See other at-risk trials from University of Pennsylvania

Record History

  1. Start date: Aug 2026 to Oct 2026 Primary and study completion pushed from Nov 2026 to Jan 2027 · Eligibility criteria expanded, about 12 words Show 2 more changesShow less
    • Primary and study completion pushed from Nov 2026 to Jan 2027
    • Eligibility criteria expanded, about 12 words
  2. Start date: May 2026 to Aug 2026 Primary and study completion pushed from Sep 2026 to Nov 2026v2 Show 1 more changeShow less
    • Primary and study completion pushed from Sep 2026 to Nov 2026
  3. Study First Submitted
  • Stopped: an ongoing trial was terminated, suspended or withdrawn.
  • Notable: the trial’s plan changed such as a big move in its timeline or size, a new primary endpoint, sponsor or phase, or recruiting opened or resumed.
  • Minor: routine progress and housekeeping, such as sites added or enrollment closed.
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.
Trial Details
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
Primary Completion (estimated)
Study Completion (estimated)
Updated on ClinicalTrials.gov