Arrhythmias & electrophysiology

Impact of Artificial Intelligence-Enhanced Insertable Cardiac Monitors on Device Clinic Workflow and Resource Utilization

JACC AdvPublished cross-sectional analysis

Authors' conclusion

Compared to non-AI-enhanced ICMs, AI-enhanced ICMs significantly reduce NAAs, leading to a projected decrease in clinic workload and associated costs, potentially improving workflow and health care efficiency.

Study context

Population
Patients with insertable cardiac monitors (ICMs) in U.S. device clinics using Octagos Health remote monitoring, July 2022 to April 2024
Participants
19,320 patients
Exposure
We compared nonactionable alerts (NAAs) generated by artificial intelligence (AI)-enhanced vs non-AI-enhanced ICMs
Outcome
Mean annual NAA volume per 600-ICM clinic
Methodological detailsreal-world, deidentified ICM remote monitoring data, 140 U.S. device clinics
  • Real-world, deidentified ICM remote monitoring data
  • 140 U.S. device clinics

Main finding

As reported in the abstract

non-AI-enhanced ICMs

5,078

mean annual

AI-enhanced ICMs

2,110

mean annual

Observational data: associations, not effects.

Further findings

Hours

OutcomeAI-enhanced ICMsnon-AI-enhanced ICMsDifference (hours) (95% CI)P value
Staffing hours · annualFewer staffing hours with AI-enhanced ICMs397956559 (513–605)P < 0.001

Patient characteristics

OutcomeAI-enhanced ICMsnon-AI-enhanced ICMsDifference (95% CI)P value
Annual costsAnnual savings with AI-enhanced ICMs$20,929$50,399$29,470 ($27,035-$31,904)P < 0.001
Patient characteristics — mean age
69 ± 13.5 years
Patient characteristics — male
47.3%

Original publication

Impact of Artificial Intelligence-Enhanced Insertable Cardiac Monitors on Device Clinic Workflow and Resource Utilization. JACC Adv. Published 19 March 2025. doi:10.1016/j.jacadv.2025.101656

Summarised from the published abstract; every number is checked against it

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