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.
Remote monitoring of cardiac implantable electronic devices (CIEDs) has become standard practice. It improves patient safety, reduces unnecessary office visits, and allows clinicians to detect clinically significant events earlier. ¹ ²
But as adoption has accelerated, so has the volume of device data.
What began as a clinical advantage is now creating a new operational challenge: alert overload. In large multicenter analyses, more than 82,000 remote monitoring alerts have been recorded across approximately 26,700 patients in a single year, reflecting the scale of data modern device programs must process, and the strain is becoming difficult to ignore.³
This article explores how the data burden has evolved, why it matters, and what it means for the sustainability of remote monitoring programs.
Why Remote Monitoring Became the Standard of Care
Remote monitoring of cardiac implantable electronic devices did not become widespread by accident. Its adoption has been driven by strong clinical evidence and clear patient benefits.
Large studies have demonstrated that remote monitoring can:
- Detect clinically significant arrhythmias earlier
- Reduce unnecessary in-office visits
- Shorten time to clinical decision-making
- Improve overall patient safety²
As a result, professional societies now recommend remote monitoring as a Class I indication for patients with cardiac devices.¹,²
In many ways, remote monitoring represents one of cardiology’s quiet success stories. It has increased convenience for patients while improving clinical oversight.
But growth at this scale introduces new operational realities.
As device connectivity has improved and patient volumes have expanded, the volume of transmitted data has grown just as rapidly.
And that is where the pressure begins to build.
The Growing Volume of Device Transmissions
As more patients are enrolled in remote monitoring programs, the volume of incoming transmissions has increased steadily.
Each pacemaker, defibrillator, and implantable loop recorder generates routine data — along with alerts triggered by rhythm changes, device parameters, or connectivity issues. Individually, these transmissions may seem manageable. At scale, they become something else entirely.
More than half of patients with CIEDs transmit at least one alert per year.³ In one large multicenter analysis, more than 82,000 alerts were recorded from approximately 26,700 patients over a twelve-month period. Implantable loop recorders accounted for a disproportionate share of that volume.³
Those numbers represent more than statistics. For device clinics, they translate into:
- Daily queues of alerts requiring review
- Repeated documentation and follow-up tasks
- Interruptions to scheduled workflow
- Additional coordination with patients and providers
Even when many of these alerts are ultimately non-actionable, they still require time, attention, and documentation.
The clinical value of remote monitoring remains clear. The operational impact of processing this volume of data is where strain begins to emerge. Many clinics are now actively rethinking how they reduce alert burden and streamline triage without compromising safety.
When Volume Becomes a Clinical Risk
High alert volume is not simply an administrative inconvenience. Over time, it can create meaningful clinical and operational strain.
Most remote monitoring alerts are not clinically actionable. Studies consistently show that only a portion of transmissions require intervention, while many reflect benign events, self-resolving episodes, or connectivity-related notifications.²,³
But even non-actionable alerts demand attention.
Each transmission must be reviewed. Documentation must be completed. Follow-up may need to be initiated. The cumulative effect is a steady stream of tasks competing for time and focus.
As alert volume rises, two risks begin to emerge.
Alert Fatigue
When clinicians are repeatedly exposed to low-value alerts, cognitive fatigue can set in. Attention becomes fragmented. Important signals risk being delayed within an expanding queue.
Alert fatigue is well documented across healthcare settings.¹ In device clinics, the risk is not just annoyance — it is the potential for meaningful events to be buried within volume.
Workforce Strain
Remote monitoring has grown faster than staffing models in many organizations. Unscheduled transmissions can account for a substantial portion of daily workload, adding unpredictability to already structured clinical schedules.⁴
Over time, this imbalance contributes to stress, frustration, and burnout among device nurses, APPs, and electrophysiologists.
Remote monitoring improves care. But without structural workflow adaptation, the very data designed to enhance safety can begin to strain the system delivering it.
Why Traditional Workflows Struggle at Scale
Most device clinic workflows were designed for an earlier era of remote monitoring — when patient volumes were lower and transmission frequency was more predictable.
At a smaller scale, manual triage works. A clinician or technician reviews each alert, determines whether it is actionable, documents the finding, and initiates follow-up if needed.
But scale changes the equation.
As patient enrollment grows, the volume of transmissions does not increase linearly. It compounds. More devices mean more routine transmissions, more connectivity alerts, and more unscheduled events layered into daily operations.
The core challenge is not clinical knowledge. It is capacity.
Manual review requires time and sustained attention. Documentation requirements remain constant regardless of whether an alert ultimately requires intervention. And unscheduled transmissions introduce unpredictability into structured clinic workflows.
Over time, clinics begin to experience:
- Expanding review queues
- Delayed time-to-sign
- Increased documentation backlog
- Greater reliance on overtime or incremental staffing
Adding personnel can temporarily relieve pressure, but it does not fundamentally change the workflow architecture.
The issue is no longer adoption, it’s sustainability. That sustainability conversation now also includes evolving reimbursement structures and the true technical workload behind remote monitoring.
An Inflection Point for Device Clinics
Remote monitoring has delivered clear clinical value. That is not in question.
What is becoming clearer, however, is that volume alone cannot be managed with incremental adjustments. The growth in device connectivity and transmission frequency requires more than expanded staffing or longer review hours.
Device clinics are reaching an inflection point.
The challenge is no longer whether remote monitoring works. It is how to sustain it — safely, efficiently, and without overextending clinical teams.
Smarter workflow design is becoming essential. That may include refined alert programming, structured triage pathways, and, increasingly, intelligent automation that can filter noise while preserving clinical sensitivity.
The goal is better data management. Some organizations have already demonstrated how workflow redesign can improve both efficiency and visibility at scale.
In the next article, we examine how alert overload can evolve from operational strain into a clinical safety risk — and why addressing it requires structural change, not just incremental improvement.
You can read the blog here.
References
- Varma N, et al. HRS/EHRA/APHRS/LAHRS Expert Consensus Statement on Remote Monitoring of Cardiovascular Implantable Electronic Devices. Heart Rhythm. 2023.
- Slotwiner DJ, et al. Impact of Remote Monitoring on Clinical Outcomes in Patients With Cardiac Implantable Electronic Devices. Circulation.
- Boriani G, et al. Burden of alerts in remote monitoring of cardiac implantable electronic devices. Europace.
Next in the series → When Alerts Become a Clinical Risk