Protecting Care Teams From Burnout

This is part 7 of an 8-part series.

From Alert Overload to Intelligent Care is a data-driven series examining how cardiac remote monitoring is evolving to meet the realities of modern care. As alert volumes grow and care teams face increasing clinical and operational pressure, this series explores the evidence behind smarter monitoring workflows – including AI-assisted triage – and what they mean for patient safety, clinician well-being, and long-term sustainability. Each article focuses on real-world challenges, validated data, and practical insights.

Workload burden is a growing threat to the sustainability of device clinics. Professional societies explicitly recognize burnout and staff turnover as risks when remote monitoring teams are under-resourced.¹

AI reduces this burden by filtering out non-actionable alerts and stabilizing daily workloads. Device nurses and APPs can focus on patient communication and clinical decision-making rather than constant data triage.³

Reducing administrative burden is strongly associated with improved clinician well-being and lower burnout risk.² Supporting care teams ultimately protects patients by enabling safer, more consistent care.¹,³

See how leading health systems are applying these approaches in real-world settings in the IHVI case study.

For operational insights and workflow support that touch on clinician workload and burnout factors, see Six Ways to Reduce Data Burden in Cardiology Clinics.

References

1. Heart Rhythm Society / EHRA. Workforce burden and sustainability in remote monitoring clinics. 2023.
2. Shanafelt TD, et al. Burnout and satisfaction among healthcare professionals. Mayo Clinic Proceedings.
3. Varma N. Human factors and automation in cardiac device management. Heart Rhythm.

Read how Lehigh Valley Heart & Vascular Institute Transformed Remote Cardiac Monitoring.

Next in the series → The Future of Cardiac Device Remote Monitoring