ArticleFrontiers in cardiovascular medicine2026
PROMBot-HSM-AF: protocol for a feasibility study of a chatbot-based platform to collect patient-reported outcomes after atrial fibrillation ablation.
Article in Frontiers in cardiovascular medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07237178 (PROMBot-HSM-FA), which is not on this map. Not yet cited in PubMed.
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PROMBot-HSM-FA: Protocol for a Feasibility Study of a Chatbot-based Platform to Collect Patient-reported Outcomes After Atrial Fibrillation Ablation
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10 authors.
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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. Clinical Trial Registration: https://clinicaltrials.gov/study/NCT07237178, identifier NCT07237178.
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