AI-guided AF treatment
Research type
Research Study
Full title
Artificial Intelligent guided Treatment of Atrial Fibrillation: A Randomized Controlled Pilot Study
IRAS ID
353839
Contact name
Diana A Gorog
Contact email
Sponsor organisation
East and North Hertfordshire NHS Trust
Duration of Study in the UK
3 years, 0 months, 1 days
Research summary
Atrial fibrillation (AF) is the most common heart rhythm disorder, affecting millions worldwide and leading to significant health risks, including stroke and reduced quality of life. With its prevalence expected to double by 2060, AF is a growing challenge for healthcare systems like the NHS. Managing AF effectively requires a patient-centered approach tailored to individual needs, which can be difficult due to limited resources and increasing demand.
Advances in artificial intelligence (AI) offer promising solutions. AI-powered virtual assistants (VAs) can analyze complex patient data and provide personalized treatment recommendations based on international guidelines. By integrating digital health tools into care, these systems can improve efficiency, reduce healthcare burdens, and enhance patient outcomes.
This pilot study will assess the feasibility, acceptability, and effectiveness of using an AI-driven VA to manage patients with AF. The VA system has been designed by cardiologists and incorporates the latest European Society of Cardiology (ESC) guidelines. It delivers tailored advice for managing AF while ensuring safety through oversight by a cardiologist, who reviews all recommendations before they are shared with patients.
Patients will be randomly assigned to one of two groups: standard outpatient care or VA-guided clinics. Outcomes, including healthcare burden, patient satisfaction, safety, and care quality, will be compared over three months.
This research aims to demonstrate how the VA system can support healthcare professionals, improve patient experiences, and optimize the management of AF, offering insights into the future of digital health in routine care.
REC name
Wales REC 5
REC reference
25/WA/0056
Date of REC Opinion
4 Apr 2025
REC opinion
Further Information Favourable Opinion