A Flexible and Intelligent Framework for Remote Health Monitoring Dashboards

TL;DR

This paper introduces ViSierra, an open-source framework that simplifies the creation of customizable, efficient, and intelligent dashboards for remote patient monitoring, integrating machine learning and advanced data analysis tools.

Contribution

The paper presents a novel, flexible framework for designing RPM dashboards that reduces development effort and enhances functionality with minimal coding.

Findings

Framework enables fast dashboard development

Supports integration of machine learning solutions

Improves data analysis capabilities in RPM dashboards

Abstract

Developing and maintaining monitoring panels is undoubtedly the main task in the remote patient monitoring (RPM) systems. Due to the significant variations in desired functionalities, data sources, and objectives, designing an efficient dashboard that responds to the various needs in an RPM project is generally a cumbersome task to carry out. In this work, we present ViSierra, a framework for designing data monitoring dashboards in RPM projects. The abstractions and different components of this open-source project are explained, and examples are provided to support our claim concerning the effectiveness of this framework in preparing fast, efficient, and accurate monitoring platforms with minimal coding. These platforms will cover all the necessary aspects in a traditional RPM project and combine them with novel functionalities such as machine learning solutions and provide better data analysis instruments for the experts to track the information.