Potential of AI to Improve CIED Remote Monitoring Powered by 91 Life-Potential of AI to Improve CIED Remote Monitoring Powered by 91 Life

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Video Summary

This roundtable discussion, led by Prash Sanders, focuses on leveraging AI to improve cardiac implantable device (CID) remote monitoring, addressing the growing data and workload challenges faced by electrophysiologists. Panelists, including clinicians and industry experts, highlight that remote monitoring generates vast amounts of predominantly non-actionable data, creating significant burden on clinical staff. AI's primary role is envisioned as filtering false positives and triaging clinical relevance to reduce workload, while preserving physician involvement in decision-making for safety, efficacy, and ethical considerations. There is consensus that fully autonomous AI adjudication remains at least ten years away due to the complexity of integrating clinical context, regulatory hurdles, and physician-patient trust. Current challenges include inconsistent reimbursement, regulatory barriers, limited interoperability, and the need for AI tools to align with clinical guidelines to improve patient outcomes. Industry representatives emphasize that successful AI integration will begin with automating routine data processing and ultimately augmenting clinical decision support without replacing clinicians. The panel stresses cautious optimism, advocating collaborative development among physicians, AI researchers, and regulators to ensure safe, effective, and ethical AI deployment in remote monitoring, aiming to enhance guideline adherence and patient care while managing rising data volumes.

Keywords

AI in cardiac implantable device monitoring

remote monitoring challenges

false positive filtering

clinical decision support

electrophysiology workload

regulatory barriers in AI

interoperability in healthcare AI

ethical AI deployment