STUDY PROTOCOL article

Front. Cardiovasc. Med.

Sec. Clinical and Translational Cardiovascular Medicine

PROMBot-HSM-AF: protocol for a feasibility study of a chatbot-based platform to collect patient-reported outcomes after atrial fibrillation ablation

  • 1. Arrhythmology, Pacing and Electrophysiology Unit, Cardiology Service, Santa Marta Hospital, Lisbon, Portugal, Lisbon, Portugal

  • 2. Department of Physiology, NOVA Medical School, NOVA University of Lisbon, Lisbon, Portugal, Lisbon, Portugal

  • 3. Comprehensive Health Research Center (CHRC), Nova Medical School, NOVA University of Lisbon, Lisbon, Portugal, Lisbon, Portugal

  • 4. Physiology Institute, Faculty of Medicine, University of Lisbon, Lisbon, Portugal, Lisbon, Portugal

  • 5. Value for Health Collaborative Laboratory, Lisbon, Portugal

  • 6. Laboratory for Instrumentation, Biomedical Engineering and Radiation Physics (LIBPhys), NOVA School of Science & Technology, NOVA University of Lisbon, Caparica, Portugal, Caparica, Portugal

  • 7. Faculty of Sports, University of Porto, Porto, Portugal

The final, formatted version of the article will be published soon.

Abstract

Introduction: Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia, with catheter ablation increasingly recommended as first-line therapy. Despite its effectiveness, 15\% to 20\% of patients require reassessment within the first month post-procedure. Standard follow-up relies on scheduled consultations and intermittent monitoring, which may delay recognition of recurrence or complications. Remote patient monitoring through conversational agents may address these gaps, yet evidence on feasibility and implementation in post-ablation care remains limited. This study aims primarily to evaluate the feasibility, usability, and acceptability of PROMBot-HSM-AF (Chatbot Platform to Collect Patient-reported Outcomes After AF Ablation, Santa Marta Hospital) during the first 3 months following AF catheter ablation. Methods and analysis: PROMBot-HSM-AF is a single-center, open-label, randomized controlled pilot (feasibility) trial with two parallel groups, conducted at Santa Marta Hospital, Lisbon, Portugal. Seventy-six patients undergoing AF ablation will be randomized in a 1:1 ratio to either chatbot-supported follow-up or standard care. The primary feasibility parameters are: recruitment rate (proportion of eligible patients consenting), retention rate at 3 months, and chatbot engagement rate (proportion of chatbot prompts answered). Acceptability and usability will be assessed using behavioral indicators (engagement and retention), the System Usability Scale (SUS), the Post-Study System Usability Questionnaire (PSSUQ), and semi-structured interviews with patients and healthcare professionals. Quantitative data will be analyzed descriptively with exploratory between-group comparisons. Semi-structured interviews with patients and healthcare professionals will be analyzed using thematic content analysis. Conclusions: This pilot trial will provide preliminary evidence on the feasibility and acceptability of integrating a chatbot-based platform into routine post-ablation care. Findings will inform refinement of the intervention and future effectiveness research in this population. The study addresses a critical gap in remote patient monitoring for post-procedural care. Trial Registration: ClinicalTrials.gov Identifier NCT07237178.

Summary

Keywords

Atrial Fibrillation, Catheter Ablation, Chatbot, conversational agent, Feasibility study, patient-reported outcomes, Remote patient monitoring

Received

27 November 2025

Accepted

10 July 2026

Copyright

© 2026 Laranjo, Silva Cunha, Guede-Fernández, Oliosi, Contins, Dias, Silva, Félix, Oliveira and Londral. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Sérgio Laranjo

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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