Advancing Healthcare Research Through Live-Data Integration: Implementing IEEE 11073 and FHIR in Clinical Environment

Area of Science:

• Biomedical Informatics
• Health Information Technology
• Medical Device Integration

Background:

• Real-time medical device data integration is crucial for enhancing patient care and enabling timely interventions.
• Current clinical environments face challenges in efficiently incorporating diverse medical device data streams.
• Standardized protocols are needed to facilitate interoperability and data exchange.

Purpose of the Study:

• To present a comprehensive approach for integrating real-time medical device data into clinical workflows.
• To propose a conceptual framework and an open-source proof-of-concept for real-time data integration.
• To demonstrate the selective capturing and utilization of medical device data for downstream processing.

Main Methods:

• Utilized Health Level Seven (HL7) Fast Healthcare Interoperability Resources (FHIR) standards and IEEE 11073 Service-Oriented Device Connectivity (SDC).
• Developed a Medical Data Integration Center (MeDIC) with a selective recording mechanism to manage data volume and ensure accuracy.
• Implemented a robust network architecture using Kafka brokers for secure data transfer within isolated clinical networks.

Main Results:

• Successfully demonstrated the integration of real-time medical device data within a clinical setting.
• Validated the effectiveness of the selective recording mechanism in mitigating storage issues.
• Showcased seamless and secure data transfer using Kafka for isolated network environments.

Conclusions:

• The proposed approach enables efficient and reliable integration of real-time medical device data.
• Standardized protocols like HL7 FHIR and IEEE 11073 SDC are vital for modern healthcare data management.
• The developed framework and implementation facilitate improved patient care through enhanced data accessibility and analysis.