Conversational AI Phone Calls to Support Patients With Atrial Fibrillation: Randomized Controlled Trial.

ABSTRACT:

Background

Patient education and self-management support are critical for atrial fibrillation (AF) management. Conversational artificial intelligence (AI) has the potential to provide interactive and personalized support, but has not been evaluated in patients with AF.

Objective

This study aimed to evaluate the feasibility of a conversational AI intervention to support patients with AF postdischarge.

Methods

This was a single-blinded, 4:1-parallel-randomized controlled trial with process evaluation of feasibility and engagement. The primary outcome was the change in Atrial Fibrillation Effect on Quality-of-Life (AFEQT) questionnaire total score between groups. Patients with AF (18 y and older) were recruited postdischarge from Westmead Hospital cardiology services and

SUBMITTER: Trivedi R 

PROVIDER: S-EPMC12364416 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature