Impact of Artificial Intelligence-Enhanced Insertable Cardiac Monitors on Device Clinic Workflow and Resource Utilization
BACKGROUND: Insertable cardiac monitors (ICMs) are essential for managing arrhythmias but often generate large numbers of transmissions and false alerts. Integrating artificial intelligence (AI) as part of the ICM workflow can reduce this burden. However, its impact on clinic workflow and resource utilization must be better understood. OBJECTIVES: The aim of the study was to assess the impact of AI-enhanced ICMs on clinic workflow and resource utilization. METHODS: A cross-sectional analysis was conducted using…
AI-enhanced insertable cardiac monitors reduced nonactionable alerts from 5,078 to 2,110 per year for a 600-patient clinic, saving 559 staffing hours and $29,470 annually compared to non-AI monitors.
Findings are based on a cross-sectional analysis of deidentified data from 140 clinics in one remote monitoring platform and on cost and staffing estimates extrapolated to a hypothetical 600-patient clinic, not direct measurement of all clinics.
Evidence
- Peer-reviewedJACC: Advances2025-03-18
How should this claim be treated?
Truvace Impact Record TRV-2026-0299, v1: “Impact of Artificial Intelligence-Enhanced Insertable Cardiac Monitors on Device Clinic Workflow and Resource Utilization.” Truvace, 2026-07-20. /record/TRV-2026-0299 (accessed at citation time). sha256 317498d7aac740d4…
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