Implementation of a bespoke data dashboard maintained remote monitoring connectivity at >90% over 24 months despite service expansion, with <5% disconnected for longer than one month.
Observational
No
Integrating digital dashboards into remote monitoring workflows for CIEDs improved connectivity to >90% and reduced manual workload.
Abstract Background Remote monitoring (RM) of cardiac implantable electronic devices (CIEDs) has transformed patient care and is now integral to device follow-up. However, managing patients through RM requires considerable time and coordination due to hidden workload associated with maintaining connectivity and reviewing transmissions. Many centres still lack tools to visualise disconnections or overall transmission volumes. Our cardiac device service sought to address this gap by developing practical data dashboards to support high-quality, patient-centred RM at scale. Purpose To describe the development, implementation, and impact of dashboard tools designed to monitor connectivity, support targeted interventions, and quantify workload within a large UK pacing service. Methods In collaboration with an industry partner, a bespoke dashboard was created using spreadsheet software with data transformation tools. Weekly data exports were provided including patient ID, group assignment, pulse generator model and serial number, last transmission, and current monitoring status. Data was uploaded to the dashboard, transformed and displayed as visual metrics, tables, and lists highlighting connectivity trends. Disconnected patient metrics, reconnected patients and patients with alert conditions on reconnection were easily identified. Trends were monitored to evaluate the success of targeted management and monthly text reminders with performance reviewed at departmental meetings. Results Over 24 months, the dashboard improved visibility and efficiency of RM operations. Connectivity was maintained at 90% despite service expansion of more than 2,000 patients, with 5% disconnected for longer than one month. Routine dashboard use required ~15 minutes for data extraction and processing per week. Five hours per month were sufficient to review the 30 longest disconnected patients and send bulk text reminders to all. Automated identification supported timely and efficient use of resources, allowed rapid recognition of trends in connectivity and service growth and confirmed that disconnected patients rarely had unmanaged alerts. Figure 1 illustrates typical dashboard outputs including weekly connectivity metrics, numbers and trends of disconnected patients, reconnection numbers and a table of patient details highlighting the longest disconnected patients, demonstrating how the visualisations facilitated targeted interventions. Conclusion Integrating digital dashboards into RM workflows transformed service delivery from reactive to data-driven. The approach improved connectivity, reduced manual workload, and enhanced situational awareness across a large cohort. Dashboards are a practical, scalable solution for future alert-only systems and support sustainable remote cardiac care. Ongoing collaboration with industry to develop interoperable, standardised dashboards across platforms will be essential to maintain efficiency and improve patient safety.Snapshot of dashboard metrics
Collinson et al. (Wed,) conducted a observational in Cardiac implantable electronic devices (CIEDs). Data dashboards for remote monitoring was evaluated on Connectivity maintenance. Implementation of a bespoke data dashboard maintained remote monitoring connectivity at >90% over 24 months despite service expansion, with <5% disconnected for longer than one month.