Medical Device to EHR Integration Engineer (Only short NP-less than 30 days accepted, kindly pay attention to this to save your efforts, thank you for understanding)

Attention please

Only short NP-less than 30 days accepted, kindly pay attention to this to save your efforts, thank you for understanding

Project Description:

This role involves integrating bedside medical devices with healthcare systems to enable real-time clinical workflows and device-to-EHR data exchange. You will work with devices such as vital signs monitors, ventilators, infusion pumps, anesthesia machines, ECG/telemetry, and smart beds, ensuring seamless connectivity and compliance with healthcare standards. The position requires strong knowledge of HL7 messaging, device communication protocols, and troubleshooting connectivity issues. Exposure to FHIR/REST APIs and emerging technologies like AI (LLMs, Agentic AI) is a plus.

Responsibilities:

• Integrate bedside medical devices (vital signs monitors, ventilators, infusion pumps, anesthesia machines, ECG/telemetry, smart beds) with EHR systems.
• Implement and troubleshoot HL7 messaging (ADT, ORU, ORM) and flowsheet mappings.
• Support real-time clinical workflows and ensure accurate device-to-EHR data exchange.
• Configure and maintain serial-to-IP connectivity and converters for medical devices.
• Monitor device connectivity using SNMP, syslog, and other monitoring tools.
• Collaborate with clinical and IT teams to ensure compliance with healthcare standards.
• Document integration processes, workflows, and technical specifications.

Mandatory Skills Description:

• 5+ years of hands-on experience with medical device integration in healthcare environments. working with EHR systems and any knowledge around HL7 Integrations. US healthcare technologies exp is must
• Strong understanding of bedside medical devices (vital signs monitors, ventilators, infusion pumps, anesthesia machines, ECG/telemetry, smart beds).
• Proficiency in HL7 messaging (ADT, ORU, ORM) and flowsheet mappings.
• Experience supporting real-time clinical workflows and device-to-EHR data exchange.