Digital Health Solutions Architect – Epic/Azure

Job not on LinkedIn

November 4

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Logo of Jay Analytix Inc

Jay Analytix Inc

Artificial Intelligence • B2B • Recruitment

Jay Analytix Inc is a B2B IT consulting firm that provides data solutions, performance engineering, AI/machine learning services, and IT staffing to enterprises across industries. The company offers end-to-end data analytics, dashboards, performance monitoring and optimization, and bespoke AI/ML integrations, alongside global IT recruitment and staffing support. Based in Windsor, Canada, Jay Analytix emphasizes customizable, scalable solutions, transparent communication, and cost-effective engagement for clients in sectors such as healthcare, fintech, energy, entertainment, and insurance.

📋 Description

• Design and architect scalable, secure, and patient-centric digital health solutions, ensuring seamless integration with Epic EHR systems and other healthcare technologies. • Lead the development of interoperability strategies, utilizing standards such as HL7, FHIR, and IHE profiles to enable efficient data exchange between systems. • Oversee the implementation of population health analytics platforms to improve patient outcomes and support value-based care initiatives. • Architect cloud-based solutions, particularly on Azure, to support digital health initiatives and ensure scalability and security. • Collaborate with clinical, product management, and technology teams to align digital initiatives with patient and business needs. • Evaluate and integrate Medical IoT devices and remote patient monitoring technologies into the overall digital health ecosystem. • Ensure all solutions comply with healthcare regulations (e.g., HIPAA) and maintain robust information security practices.

🎯 Requirements

• Bachelor's or Master's degree in Computer Science, Health Informatics, or related field. • 7+ years of experience in healthcare IT, with a focus on digital health solutions. • Extensive knowledge of Epic EHR systems, including Caboodle, modules, workflows, and interoperability capabilities. • Strong understanding of healthcare data standards and interoperability protocols HL7, FHIR, XDS.b, C-CDA, Health information exchanges (HIEs), Qualified health information networks (QHINS). • Experience with population health analytics and data-driven care management strategies. • Proficiency in Azure cloud architecture and services. • Working knowledge Medical IoT devices and their integration into healthcare systems. • Knowledge of healthcare information security best practices and regulatory requirements.

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