Cost impact of the use of a universal cardiac implantable electronic devices remote monitoring solution: results of the EVIDENCE RM study
E. Marijon¹, E. Vicaut², A. Abraham³, I. Ibnouhsein³, C. Henry³, G. Faedda³, A. Rosier³, N. Varma⁴ (¹) Hôpital Européen Georges Pompidou, Paris, France (²) Hôpital Lariboisière, Paris, France (3) Implicity, Paris, France (⁴) Cleveland Clinic, USA
Heart failure events prediction algorithm for patients implanted with multi-brand CIED.
N. Varma, S. Boveda, I. Ibnouhsein, G. Faedda, A. Rosier, and J. Singh, “Heart failure events prediction algorithm for patients implanted with multi-brand CIED,” Europace, vol. 26, no. Supplement_1, 2024.
Remote monitoring delivers a 28% reconnection rate within two days post SMS alert in CIED study.
J. Durand, J.-L. Bonnet, A. Lazarus, J. Taieb, A. Rosier, and S. Mittal, “Using technology to improve reconnection to remote monitoring in cardiac implantable electronic device patients,” Cardiovasc. Digit. Health J., vol. 5, no. 1, pp. 1–7, 2024.
Organizational impact study of Implicity RM platform for the remote monitoring of patients with cardiac implantable electronic devices: results from a French multi-center user-centric survey.
C. Dorra, M. Cassiau, G. Faedda, A. Vinas, C. Henry, A. Rosier, December 2023.
ILR ECG Analyzer Study - Improved diagnostic performance
Europace · 2023
New AI-based ILR-ECG-A significantly lowered the rate of FP ICM diagnoses while retaining a > 98% sensitivity.
E. Crespin et al., “Improved diagnostic performance of insertable cardiac monitors by an artificial intelligence-based algorithm,” Europace, vol. 26, no. 1, 2023.
>85%decrease in atrial fibrillation (AF) burden–related alerts
AF Alert Management
Cardiovasc. Digit. Health J. · 2023
An algorithm that detects clinically relevant events leads to a >85% decrease in atrial fibrillation (AF) burden–related alerts compared to alerts transmitted by a cardiac implantable electronic device (CIED).
A. Lazarus et al., “Filtering of remote monitoring alerts transmitted by cardiac implantable electronic devices and reclassification of atrial fibrillation events by a new algorithm,” Cardiovasc. Digit. Health J., vol. 4, no. 5, pp. 149–154, 2023.
In this real-world study, the AI algorithm re-diagnosed 43.1% of LINQ-detected episodes as “Normal Rhythm”. In addition, the AI algorithm showed good agreement rates with the HCPs reviewing the same episodes, with a 99.0% NPV and a 78.2% PPV.
E. Crespin et al., “Po-03-083 Real-world performance and agreement rates with healthcare professionals of a novel AI algorithm reclassifying ILR episodes,” Heart Rhythm, vol. 20, no. 5, pp. S496–S497, 2023.
ILR ECG Analyzer Study - Reduction of false positives
Eur. Heart J. · 2021
Artificial intelligence algorithm: ILR ECG Analyzer reduces the number of false positives by 79% when analyzing ECG recordings from patients implanted with Medtronic ILRs while maintaining a sensitivity of 99%.
A. Rosier et al., “A novel machine learning algorithm has the potential to reduce by 1/3 the quantity of ILR episodes needing review,” Eur. Heart J., vol. 42, no. Supplement_1, 2021.
A pilot study tests filtering the importance of atrial fibrillation (AF) alerts, using AI algorithms resulting in an 84% reduction in notification workload while preserving patient safety.
A. Rosier et al., “Personalized and automated remote monitoring of atrial fibrillation,” Europace, vol. 18, no. 3, pp. 347–352, 2015.
A. M. Ferrick et al., “2023 HRS/EHRA/APHRS/LAHRS expert consensus statement on practical management of the remote device clinic,” Heart Rhythm, vol. 20, no. 9, pp. e92–e144, 2023.
Highlights from the 2023 HRS/EHRA/APHRS/LAHRS Expert Consensus Statement on Practical Management of the Remote Device Clinic
An underlying impediment to worldwide adoption of RM is the irregular availability of reimbursement. This international consensus document delivers a strong message to health care payors to provide adequate reimbursement, according to the country or regional health system, for costs of the RM system itself (hardware, software, and industry service); physician interpretation and effort of allied health professionals; and administrative and nonclinical personnel.
N. Varma, “Highlights from the 2023 HRS/EHRA/APHRS/LAHRS expert consensus statement on practical management of the remote device clinic,” Heart Rhythm O2, vol. 4, no. 9, pp. 526–527, 2023.
Remote Monitoring of Cardiac Implantable Electronic Devices and Disease Management
A 2023 study led by Professor Niraj Varma explores the evolution of remote monitoring in managing Cardiac Implantable Electronic Devices (CIEDs). The findings highlight a shift from periodic in-office appointments to continuous, personalized remote monitoring, suggesting more efficient and patient-specific care. This change could extend in-office visits to every 24 months for stable patients, impacting healthcare workflow, reimbursement, and data management.
N. Varma et al., “Remote monitoring of cardiac implantable electronic devices and disease management,” Europace, vol. 25, no. 9, p. euad233, 2023.
Alert-driven vs. Scheduled Remote Monitoring of Implantable Cardiac Defibrillators: A Cost-Consequence Analysis from the TRUST Trial
Alert-driven remote patient monitoring (RPM) or fully virtual care without routine evaluations may reduce clinic workload and promote more efficient resource allocation, principally by diminishing nonactionable patient encounters.
D. S. Chew, J. P. Piccini, F. Au, C. G. Frazier-Mills, J. Michalski, and N. Varma, “Alert-driven vs scheduled remote monitoring of implantable cardiac defibrillators: A cost–consequence analysis from the TRUST trial,” Heart Rhythm, vol. 20, no. 3, pp. 440–447, 2023.
Clinician Use of Data Elements from Cardiovascular Implantable Electronic Devices in Clinical Practice
The present study investigated clinicians’ frequency of use of CIED data in clinical practice and revealed preferences and challenges with using CIED reports in clinical decision-making. The survey findings suggest that CIED data reports are comprehensive, providing an abundance of important information. However, improvements can be made to organize reports better to enhance the use of actionable data in clinical practice.
C. Daley et al., “Clinician use of data elements from cardiovascular implantable electronic devices in clinical practice,” Cardiovasc. Digit. Health J., vol. 4, no. 1, pp. 29–38, 2023.
RM of CIEDs-For Both Safety, Economy, and Convenience?
Int. J. Environ. Res. Public Health · 2021
Remote Monitoring of CIEDs—For Both Safety, Economy, and Convenience?
The review summarizes some of the recent research in the field of remote monitoring of cardiac devices. Specifically highlighting major follow-up improvements regarding safety, economic, and patient satisfaction.
K. T. Lappegård and F. Moe, “Remote monitoring of CIEDs—for both safety, economy and convenience?,” Int. J. Environ. Res. Public Health, vol. 19, no. 1, p. 312, 2021.
Remote Monitoring Alert Burden: An Analysis of Transmission in >26,000 Patients
This study sought to determine the remote monitoring (RM) alert burden in a multicenter cohort of patients with a cardiac implantable electronic device (CIED).
C. J. O’Shea et al., “Remote monitoring alert burden,” JACC Clin. Electrophysiol., vol. 7, no. 2, pp. 226–234, 2021.
Worldwide Practice Update for Telehealth and Arrhythmia Monitoring During and After a Pandemic
J. Am. Coll. Cardiol. · 2020
HRS/EHRA/APHRS/LAHRS/ACC/AHA Worldwide Practice Update for Telehealth and Arrhythmia Monitoring During and After a Pandemic
The Covid-19 crisis has accelerated the use of remote patient management in various medical fields, especially among professionals dealing with heart rhythm issues. Catalyzed by the pandemic, the practice of cardiac remote monitoring is here to stay.
N. Varma et al., “HRS/EHRA/APHRS/LAHRS/ACC/AHA worldwide practice update for telehealth and arrhythmia monitoring during and after a pandemic,” J. Am. Coll. Cardiol., vol. 76, no. 11, pp. 1363–1374, 2020.
Improved Survival in Patients Enrolled Promptly into Remote Monitoring Following Cardiac Implantable Electronic Device Implantation
The retrospective, national, observational cohort study highlights that initiating remote monitoring within 90 days of CIED implantation, compared to delayed initiation, was associated with a lower patient mortality rate. This advantage was observed across all CIED device types.
S. Mittal, J. P. Piccini, J. Snell, J. B. Prillinger, N. Dalal, and N. Varma, “Improved survival in patients enrolled promptly into remote monitoring following cardiac implantable electronic device implantation,” J. Interv. Card. Electrophysiol., vol. 46, no. 2, pp. 129–136, 2016.
Remote Monitoring of Cardiac Implantable Electronic Devices (CIED)
With increasing indications and access to cardiac implantable electronic devices (CIEDs) worldwide, the number of patients needing CIED follow-up continues to rise. In parallel, the technology available for managing these devices has advanced considerably. In this setting, remote monitoring (RM) has emerged as a complement to routine in-office care. Rigorous studies, randomized and otherwise, have demonstrated advantages to patients with CIED management systems which incorporates RM resulting in authoritative guidelines from relevant professional societies recommending RM for all eligible patients. In addition to clinical benefits, CIED management programs that include RM have been shown to be cost-effective and associated with high patient satisfaction.
E. P. Zeitler and J. P. Piccini, “Remote monitoring of cardiac implantable electronic devices (CIED),” Trends Cardiovasc. Med., vol. 26, no. 6, pp. 568–577, 2016.
Use of Remote Monitoring is Associated with Lower Risk of Adverse Outcomes Among Patients with Implanted Cardiac Defibrillators
The study was conducted to examine the association between the use of remote patient monitoring (RPM) of implantable cardioverter defibrillators (ICD) and all-cause mortality and rehospitalization among patients undergoing initial ICD implant. Upon completion, it was determined that using RPM on patients undergoing first-time ICD implantation is at risk of significantly lower risk of adverse outcomes.
J. G. Akar et al., “Use of remote monitoring is associated with lower risk of adverse outcomes among patients with implanted cardiac defibrillators,” Circ. Arrhythm. Electrophysiol., vol. 8, no. 5, pp. 1173–1180, 2015.
2015 HRS Expert Consensus Statement on Remote Interrogation and Monitoring for Cardiovascular Implantable Electronic Devices
Cardiovascular implantable electronic devices (CIEDs) have evolved significantly since the publication of the 2008 Heart Rhythm Society (HRS) consensus statement1 outlining recommended monitoring strategies. Novel embedded technologies have created the ability of the devices to monitor their own function, record arrhythmias and other physiological parameters, and communicate this information to health care providers without the active participation of the patient. CIEDs with wireless remote monitoring (RM) capabilities stand at the forefront of a new class of medical devices that will unobtrusively acquire vital data beyond the walls of health care facilities and seamlessly transmit the information back to health care providers. This document focuses on implantable devices for managing heart rhythm disorders.
D. Slotwiner et al., “HRS Expert Consensus Statement on remote interrogation and monitoring for cardiovascular implantable electronic devices,” Heart Rhythm, vol. 12, no. 7, pp. e69–e100, 2015.
Rationale and design of the MONITOR-ICD study: A randomized comparison of economic and clinical effects of automatic remote MONITORing versus control in patients with Implantable Cardioverter Defibrillators
Implantable cardioverter defibrillator (ICD) remote follow-up and ICD remote monitoring (RM) are established means of ICD follow-up. The reduction of the number of in-office visits and the time to decision is proven, but the true clinical benefit is still unknown. Cost and cost-effectiveness of RM remain leading issues for its dissemination. The MONITOR-ICD study has been designed to assess costs, cost-effectiveness, and clinical benefits of RM versus standard-care follow-up in a prospective multicenter randomized controlled trial.
M. Zabel et al., “Rationale and design of the MONITOR-ICD study: A randomized comparison of economic and clinical effects of automatic remote MONITORing versus control in patients with Implantable Cardioverter Defibrillators,” Am. Heart J., vol. 168, no. 4, pp. 430–437, 2014.
Canadian Cardiovascular Society/Canadian Heart Rhythm Society Joint Position Statement on the Use of Remote Monitoring for Cardiovascular Implantable Electronic Device Follow-up
Remote monitoring (RM) is a form of telemedicine technology that permits implanted pacemakers and implantable cardioverter-defibrillators to transmit diagnostic information for review by health care professionals without patients needing to visit the device follow-up clinic. A bedside transmitter in the patient’s home conveys the device data using standard telecommunication protocol to a protected internet-accessible RM data server, which authorized health care professionals can access at any time using standard web browser software. Evidence indicates it can accelerate identification of clinical events and potential device problems.
R. Yee, A. Verma, M. Beardsall, J. Fraser, F. Philippon, and D. V. Exner, “Canadian cardiovascular society/Canadian heart rhythm society joint position statement on the use of remote monitoring for cardiovascular implantable electronic device follow-up,” Can. J. Cardiol., vol. 29, no. 6, pp. 644–651, 2013.
E. M. Cronin, E. A. Ching, N. Varma, D. O. Martin, B. L. Wilkoff, and B. D. Lindsay, “Remote monitoring of cardiovascular devices: a time and activity analysis,” Heart Rhythm, vol. 9, no. 12, pp. 1947–1951, 2012.
Clinical Benefits of Remote Versus Transtelephonic Monitoring of Implanted Pacemakers
This study aimed to evaluate remote pacemaker interrogation for the earlier diagnosis of clinically actionable events compared with traditional transtelephonic monitoring and routine in-person evaluation.
G. H. Crossley et al., “Clinical benefits of remote versus transtelephonic monitoring of implanted pacemakers,” J. Am. Coll. Cardiol., vol. 54, no. 22, pp. 2012–2019, 2009.
Efficacy and safety of automatic remote monitoring for implantable cardioverter-defibrillator follow-up: the Lumos-T Safely Reduces Routine Office Device Follow-up (TRUST) trial
Monitoring implantable cardiac device function and patient condition is important. The Lumos-T Safely Reduces Routine Office Device Follow-Up (TRUST) trial tested the hypothesis that remote home monitoring with automatic daily surveillance (HM) is safe and effective for implantable cardioverter-defibrillator follow-up for one year and enables rapid physician evaluation of significant events.
N. Varma, A. E. Epstein, A. Irimpen, R. Schweikert, and C. Love, “Efficacy and safety of automatic remote monitoring for implantable cardioverter-defibrillator follow-up: The Lumos-T Safely Reduces Routine Office Device Follow-up (TRUST) trial,” Circulation, vol. 122, no. 4, pp. 325–332, 2010.
2008 HRS/EHRA Expert Consensus on the Monitoring of Cardiovascular Implantable Electronic Devices (CIEDs): Description of Techniques, Indications, Personnel, Frequency and Ethical Considerations
This document represents expert consensus concerning the Monitoring of Cardiovascular Implantable Electronic Devices (CIEDs).
B. L. Wilkoff et al., “HRS/EHRA expert consensus on the monitoring of cardiovascular implantable electronic devices (CIEDs): Description of techniques, indications, personnel, frequency and ethical considerations,” Heart Rhythm, vol. 5, no. 6, pp. 907–925, 2008.
†IM007 ILR ECG Analyzer is an FDA cleared Class II medical device, see the instructions for use for more information.
‡SignalHF is an FDA cleared Class II medical device, see the instructions for use for more information.
1SignalHF is an FDA-cleared Class II medical device; see the instructions for use for more information. SignalHF is compatible with ICD/CRT-D from Medtronic, Boston Scientific and Biotronik and IPG/CRT-P from Medtronic and Biotronik able to measure thoracic impedance.
2Varma N, Marijon E, Vicaut É, et al. Impact of a universal monitoring system (“third party”) on outcomes of ICD patients: a nationwide study. Heart Rhythm. 2025;22(10):2661-2668. doi:10.1016/j.hrthm.2024.11.029. Observational data; results reflect an association.
4IM007 ILR ECG Analyzer is an FDA-cleared Class II medical device (Manufacturer: Implicity), intended for qualified healthcare professionals for assessment of arrhythmias in implantable cardiac monitor (ICM) ECG data from the following major manufacturers: Abbott, Biotronik, Boston Scientific and Medtronic. It operates as a second-layer analysis of residual alerts remaining after manufacturer filtering. The next-generation algorithm received FDA 510(k) clearance in July 2026 and is now commercially available to U.S. customers. Not for use in life-supporting or sustaining systems or ECG monitor and alarm devices. Results are advisory only, in conjunction with physician knowledge and other diagnostic information. See the instructions for use for more information.
5Varma N, Wadhwa M, Lazarus A, Faedda G, Mabo P, Crespin E. Performance of a cloud-based AI solution for reducing false positive alerts in implantable cardiac monitors detected episodes. Europace. 2026;28(Suppl 1):euag105.043.
6Varma N, Boveda S, Ibnouhsein I, Faedda G, Rosier A, Singh J. Heart failure events prediction algorithm for patients implanted with multi-brand CIED. Europace. 2024;26(Suppl 1):euae102.553. doi:10.1093/europace/euae102.553
7Internal simulation (data on file) modeled on 2,500 patients across American medical centers over 12 months, showing a 37.6% alert reclassification rate. This translates to savings of over 300 hours per year (approximately eight weeks of work) for a 200-patient clinic, and one full-time equivalent per year for a 1,000-patient clinic. Modeled data, not clinical outcomes.
The Implicity platform is a clinical decision support device and is in no way intended to replace the responsibility or clinical judgment of the practitioner.It is designed to optimize data workflows and support medical expertise in patient management.