RemoteHealthConnect: Innovating patient monitoring with wearable technology and custom visualization

Area of Science:

• e-Health and Mobile Health (mHealth)
• Health Informatics
• Biomedical Engineering

Background:

• Remote patient monitoring is crucial for efficient healthcare delivery.
• Effective visualization of real-time patient data is essential for clinical decision-making.
• Existing systems often lack intuitive interfaces for complex vital signs data.

Purpose of the Study:

• To introduce RemoteHealthConnect, a web-based system for remote patient monitoring.
• To evaluate the effectiveness of different vital sign visualization designs for healthcare practitioners.
• To assess the usability and efficacy of the RemoteHealthConnect system.

Main Methods:

• Agile/SCRUM methodology for system development.
• Description of the web application architecture, data visualization, and UI design.
• Conducting a user interface/user experience (UI/UX) study with healthcare practitioners.

Main Results:

• The system effectively translates complex bedside data into accessible visualizations.
• Enhanced pattern recognition and anomaly detection capabilities were observed.
• The System Usability Scale (SUS) score of 71.5 indicates high usability.

Conclusions:

• RemoteHealthConnect offers a valuable tool for remote patient monitoring.
• The system improves clinician performance by facilitating rapid understanding of vital signs.
• Findings contribute to advancing remote monitoring in mHealth and e-Health domains.