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Synchronization of onboard medical equipment data with patient files

Purpose

  1.1. Ensure real-time and secure transfer of data from onboard medical devices (e.g., patient monitors, ventilators, defibrillators) directly into digital patient files.
  1.2. Minimize manual data entry by medics, improving accuracy and timeliness of critical information for patient handover at receiving facilities.
  1.3. Enable automated documentation of vital parameters, treatments given, and device logs, supporting compliance and auditability in emergency medical services.
  1.4. Integrate diverse device outputs (HL7, DICOM, proprietary) into Electronic Health Records (EHR) or incident reporting platforms.

Trigger Conditions

  2.1. Medical device detects new patient attachment or parameter change.
  2.2. Device event, such as a shock delivered or alarm status.
  2.3. Flight mission start, patient boarding, or manually initiated workflow.
  2.4. Scheduled data synchronization (e.g., every 60 seconds or prior to handover).
  2.5. Wireless or satellite connectivity available for data transmission.

Platform Variants

  3.1. Epic (EHR)
  • Epic Bridges API: Configure device HL7 outbound to Epic Data Courier; map device fields to patient file properties.
  3.2. Cerner Millennium
  • CareAware Connect: Enable device connectivity and HL7 ingestion for real-time records update.
  3.3. Philips IntelliSpace
  • Device Connectivity feature: Setup HL7 or FHIR API connectors for continuous parameter feed to patient profile.
  3.4. Allscripts Sunrise
  • Data Integration API: Map custom device payload via RESTful endpoints for chart inclusion.
  3.5. Meditech Expanse
  • Expanse Data Integrator: Configure medical device interface and data sync settings for automatic chart updates.
  3.6. GE Healthcare MUSE
  • MUSE REST API: Upload vital signs/events from compatible device endpoints to MUSE patient record.
  3.7. Zoll RescueNet
  • Device Data Upload: Configure ePCR auto-population via RescueNet Cloud Data API.
  3.8. Stryker LIFENET System
  • LIFENET Connect API: Route device ECG/data snapshots as HL7/FHIR messages to cloud for patient record matching.
  3.9. Siemens Teamplay Fleet
  • Teamplay API: Enable medical device status and event data forwarding to centralized EHR node.
  3.10. FHIR Servers (generic)
  • FHIR REST API: POST deviceObservation, vital signs, and procedures to target Patient resource.
  3.11. AirStrip ONE
  • Device Stream Integration: Setup real-time waveform and data ingestion using AirStrip Integration Suite.
  3.12. DocuSign
  • eSignature API: Auto-attach synchronized vitals report to patient consent for digital sign-off.
  3.13. Salesforce Health Cloud
  • Health Cloud Platform Events: Ingest device data via Platform Event API mapped to patient care plan.
  3.14. Microsoft Azure Healthcare APIs
  • IoT Connector for FHIR: Configure device-to-cloud ingestion and patient mapping workflow.
  3.15. AWS HealthLake
  • HealthLake Data Store API: Store device HL7/FHIR payload; auto-link to indexed patient file.
  3.16. Redox Engine
  • Data Integration API: Use Redox Data Model to push device updates to EHR/EPCI targets.
  3.17. IBM Watson Health
  • Health Data Gateway: Configure input feed from device network and rule-based routing to clinical record.
  3.18. Medisafe
  • Medisafe REST API: Attach real-time med administration records from onboard dispensers.
  3.19. Oracle Health
  • Device Data Adapter API: Stream onboard equipment data to Oracle cloud for persistent patient records.
  3.20. ChARM EHR
  • Device Connectors: Use third-party integration to link onboard readings as patient notes.
  3.21. Infor Cloverleaf Integration Suite
  • Cloverleaf Data Flow: Map inbound HL7/EDI from onboard device to clinical events in EHR target.
  3.22. Kronos Workforce Dimensions
  • Data Import/Export: Trigger staff/patient assignment journaling upon device sync event.

Benefits

  4.1. Immediate clinical documentation reduces errors and handover delays.
  4.2. Regulatory compliance with traceable, audit-ready datasets.
  4.3. Enhanced operational efficiency for crew and ground staff.
  4.4. Enriched patient records support analytics, quality assurance, and clinical review.
  4.5. Scalable integration supporting diverse equipment and hospital systems.

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