A mutually communicable external system resource in remote monitoring for cardiovascular implantable electronic devices

Eriko Hasumi; Katsuhito Fujiu; Kentaro Nakamura; Dai Yumino; Nobuhiro Nishii; Yasushi Imai; Morio Shoda; Issei Komuro

doi:10.1111/pace.14882

A mutually communicable external system resource in remote monitoring for cardiovascular implantable electronic devices

Pacing Clin Electrophysiol. 2024 Jan;47(1):127-130. doi: 10.1111/pace.14882. Epub 2023 Dec 6.

Authors

Eriko Hasumi^{1

2}, Katsuhito Fujiu^{1

3}, Kentaro Nakamura⁴, Dai Yumino⁵, Nobuhiro Nishii⁶, Yasushi Imai⁷, Morio Shoda⁸, Issei Komuro¹

Affiliations

¹ Department of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
² Department of Ubiquitous Health Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
³ Department of Advanced Cardiology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
⁴ Department of Cardiovascular Medicine, Urasoe General Hospital, Urasoe, Japan.
⁵ Yumino Heart Clinic, Tokyo, Japan.
⁶ Department of Cardiovascular Medicine, Graduate School of Medicine, The University of Okayama, Okayama, Japan.
⁷ Department of Cardiovascular Medicine, Jichi Medical University, Shimotsuke, Japan.
⁸ Department of Cardiovascular Medicine, Tokyo Women's Medical University, Tokyo, Japan.

PMID: 38055652
DOI: 10.1111/pace.14882

Abstract

Background: Using third-party resources to manage remote monitoring (RM) data from implantable cardiac electronic devices (CIEDs) can assist in device clinic workflows. However, each hospital-acquired data is not used for further analysis as big data.

Methods and results: We developed a real-time and automatically centralized system of CIED information from multiple hospitals. If the extensive data-based analysis suggests individual problems, it can be returned to each hospital. To show its feasibility, we prospectively analyzed data from six hospitals. For example, unexpected abnormal battery levels were easily illustrated without recall information.

Conclusions: The centralized RM system could be a new platform that promotes the utilization of device data as big data, and that information could be used for each patient's practice.

Keywords: artificial intelligence; precision medicine; remote monitoring.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Arrhythmias, Cardiac / diagnosis
Arrhythmias, Cardiac / therapy
Defibrillators, Implantable*
Humans
Monitoring, Physiologic / methods
Pacemaker, Artificial*
Remote Sensing Technology / methods

Grants and funding

21ek0210151h0002/Grant-in-Aid for Scientific Research