LOLATAO-An Artificial-Intelligence-Based Virtual Assistant for Clinical Follow-Up of Patients with Non-Valvular Atrial Fibrillation (AF) Undergoing Oral Anticoagulant Therapy (OAT): A Feasibility Study
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View abstract on PubMed
Summary
This summary is machine-generated.A speech-AI assistant, LOLATAO, successfully monitored patients with non-valvular atrial fibrillation undergoing oral anticoagulation therapy (OAT). The tool demonstrated high patient acceptance and satisfaction, aiding in medication management and reducing clinician workload.
Area Of Science
- Medical Informatics
- Artificial Intelligence in Healthcare
- Cardiology
Background
- Non-valvular atrial fibrillation (AF) management requires diligent oral anticoagulation therapy (OAT).
- Current OAT monitoring can be resource-intensive for healthcare providers.
Purpose Of The Study
- To assess the feasibility of using LOLA, a speech-AI assistant, for monitoring and managing OAT in non-valvular AF patients.
- To evaluate patient acceptance, adherence, and satisfaction with the AI-driven monitoring system.
Main Methods
- A pilot prospective observational study involving 50 non-valvular AF patients on OAT.
- Patients received initial and monthly calls from the LOLATAO speech-AI assistant.
- Satisfaction questionnaires were administered post-study.
Main Results
- LOLATAO showed high acceptability (85%), adherence (90%), and patient satisfaction (>95%).
- 18% of patients required bridging therapy, and 42% missed at least one dose.
- Significant issues with time in therapeutic range (TTR) were noted in Vitamin K antagonist users, leading to DOAC switching.
Conclusions
- LOLATAO is a feasible and effective tool for the chronic follow-up of OAT in AF patients.
- The AI assistant reduces the care burden on hematologists while maintaining high patient satisfaction.
- The system aids in identifying and managing OAT-related challenges, potentially improving patient outcomes.
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