VitalCore: Analytics and Support Dashboard for Medical Device Integration.

Area of Science:

• Biomedical Engineering
• Health Informatics
• Clinical Engineering

Background:

• Medical professionals face significant challenges with manual data collection and validation from medical devices.
• Vendor-specific applications lead to lengthy troubleshooting, extended device downtimes, and manual electronic health record (EHR) data entry.
• Manual data logging is prone to errors, omissions, and potential manipulation, impacting patient care and data integrity.

Purpose of the Study:

• To introduce VitalCore, a novel medical device integration platform designed for real-time data access.
• To evaluate the effectiveness of VitalCore in improving clinical workflows and data management at Penn Medicine.
• To demonstrate the platform's capabilities in troubleshooting, patient monitoring, and anomaly detection.

Main Methods:

• Development and deployment of the VitalCore platform.
• Integration of VitalCore into three distinct clinical applications: Medical Device Dashboard, Ventilation Alert, and Anomaly Detector.
• Quantitative and qualitative assessment of workflow efficiency, downtime reduction, and predictive accuracy.

Main Results:

• The Medical Device Dashboard application reduced required time by up to six times, simplifying troubleshooting and decreasing downtimes.
• The Ventilation Alert system successfully alerted medical professionals to newly ventilated patients.
• The Anomaly Detector achieved 93% accuracy in predicting anomalous patterns within the medical device data.

Conclusions:

• VitalCore significantly enhances the efficiency of medical device data management and analysis.
• The platform offers tangible benefits, including reduced downtimes, increased clinical productivity, and improved patient monitoring.
• VitalCore represents a promising solution for real-time medical device integration and data-driven clinical insights.