INSMA: An integrated system for multimodal data acquisition and analysis in the intensive care unit

Area of Science:

• Biomedical Engineering
• Clinical Informatics

Background:

• Intensive care units (ICUs) generate vast multimodal patient data from various devices.
• Existing data acquisition methods lack comprehensive bedside analysis capabilities.
• Improved data analysis is crucial for enhanced patient care and clinical decision support.

Purpose of the Study:

• To propose and evaluate INSMA, a novel multimodal data acquisition and analysis system.
• To enable seamless data acquisition, storage, processing, and visualization from patient monitors.
• To explore the utility of acquired data for patient state tracking.

Main Methods:

• Development of the INSMA system for multimodal data integration.
• Acquisition of physiological waveform signals, alarm messages, and numeric vital data.
• Implementation of data processing and visualization functionalities.
• Testing and validation within an ICU setting at University Hospitals Cleveland Medical Center.

Main Results:

• INSMA successfully acquires, stores, processes, and visualizes multimodal data from Philips IntelliVue patient monitors.
• The system demonstrates potential for effective patient state tracking using integrated data.
• Initial testing in an ICU environment is underway.

Conclusions:

• INSMA offers a comprehensive solution for bedside data acquisition to analysis in ICUs.
• The system has the potential to significantly improve clinical decision-making and patient monitoring.
• Further validation is required to fully assess its impact on patient outcomes.