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Closing the Loop: A Software-Based Middleware Framework for Automated Vital Sign Integration With Cloud-Based
1Diagnostic Radiology, Southern Hills Hospital and Medical Center, Las Vegas, USA.
This study introduces middleware for real-time vital sign data transfer to electronic medical records (EMR), reducing errors and clinician workload. The solution uses Health Level Seven (HL7) and Fast Healthcare Interoperability Resources (FHIR) standards for seamless integration.
Area of Science:
- Health Informatics
- Medical Technology
- Clinical Engineering
Background:
- Manual vital sign documentation in hospitals is inefficient, leading to delays, errors, and increased clinician burden.
- Current monitoring systems often lack seamless integration with electronic medical records (EMR).
Purpose of the Study:
- To present a modular, software-based middleware solution for real-time vital sign transmission to cloud-based EMRs.
- To address barriers to adoption and demonstrate successful integration of real-time monitoring.
Main Methods:
- Development of a middleware solution leveraging Health Level Seven (HL7) and Fast Healthcare Interoperability Resources (FHIR) standards.
- Utilizing standardized APIs to connect FDA-cleared monitoring devices with major EMR platforms.
- Analysis of adoption barriers, including cost, workflow, and compliance, with real-world case studies.
Main Results:
- The middleware enables seamless, real-time transmission of vital signs, improving documentation accuracy.
- Reduced infrastructure burden and enhanced interoperability between devices and EMR systems.
- Identified strategies to overcome adoption challenges and highlighted benefits like improved early warning system performance.
Conclusions:
- An interoperable, nurse-friendly architecture with audit trails automates charting, reduces errors, and alleviates clinician burnout.
- This system supports the shift towards predictive, real-time clinical decision support.
- The middleware solution offers a scalable approach to modernizing vital sign documentation and healthcare data management.
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