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.
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