76 to 87 of 87 HL7 Jobs in England

EPR. Good understanding of Rio data model, modules and common integration points with other NHS systems. Proficiency in interoperability standards such as HL7 v2, FHIR, IHE and associated data exchange patterns. Experience using interface engines such as Mirth Connect, Infor Cloverleaf or similar to build and support Rio interfaces. Solid ...

essential Experience working in a scale up environment. Working knowledge of UX design principles. Experience in developing APIs. Experience with FHIR/HL7 integration. Experience developing HIPAA/GDPR compliant software. Bachelor's degree in a Computer Science related course. Benefits Salary: 40-50k per year Flexible work environment. ...

essential Experience working in a scale up environment. Working knowledge of UX design principles. Experience in developing APIs. Experience with FHIR/HL7 integration. Experience developing HIPAA/GDPR compliant software. Bachelor’s degree in a Computer Science related course. Benefits Salary: 40-50k per year Flexible work environment. ...

teams Desirable: Experience with Qt GUI development Familiarity with secure coding standards or IEC (phone number removed) Integration with hospital/healthcare systems (DICOM, HL7, EHRs) Hands-on experience with embedded systems (e.g., STM32, CubeMX) Experience with testing frameworks for embedded software Join a dynamic team creating innovative medical device ...

using React.js Implement and consume RESTful APIs Collaborate on cloud-based solutions using AWS or Azure Work with clinical data standards such as FHIR , HL7 , and SNOMED Participate in code reviews, architecture discussions, and agile ceremonies Ensure high standards of performance, security, and reliability in a regulated healthcare environment Tech … Backend: PHP (Laravel) Frontend: React.js Databases: MySQL/PostgreSQL Cloud & DevOps: Docker, Kubernetes, AWS/Azure, GitHub Actions, CI/CD pipelines Standards: FHIR, HL7, SNOMED CT (training available) What We're Looking For Solid commercial experience with PHP and Laravel Experience with React.js for frontend development Strong understanding ...

apply systems analysis techniques, diagnose integration issues, and continuously optimise workflows in a fast-moving environment. Key Responsibilities Deliver and maintain integrations using DICOM, HL7, custom APIs, and related technologies. Lead the design, configuration, testing, and validation of service integrations. Consult with customers and internal teams to translate clinical workflows … into technical requirements. Configure and support secure connectivity solutions, including VPNs and firewall rules. Manage HL7 integrations, ensuring high reliability and performance. Maintain integration documentation, including data flow diagrams and IT architecture overviews. Troubleshoot and resolve complex connectivity and data transport issues. Contribute to training and onboarding for internal stakeholders. ...

optimize machine learning models for disease prediction, early diagnosis and personalised healthcare solutions. Process and analyze structured and unstructured health data (EHR, Wearables, HL7/FHIR) and implement deep learning algorithms for predictive healthcare applications. Contribute to research on AI-driven personalization strategies to empower users in managing their health … clinical workflows. Expertise in handling missing data, outliers and feature engineering. Experience in processing Health data from various sources (EHR, Wearables) and formats (e.g., HL7/FHIR, CSV, PDF, PNG, JPEG). Skilled in analysing time-series data from wearable sensors or medical devices (e.g., ECG, PPG). Proficient ...

optimize machine learning models for disease prediction, early diagnosis and personalised healthcare solutions. Process and analyze structured and unstructured health data (EHR, Wearables, HL7/FHIR) and implement deep learning algorithms for predictive healthcare applications. Contribute to research on AI-driven personalization strategies to empower users in managing their health … clinical workflows. Expertise in handling missing data, outliers and feature engineering. Experience in processing Health data from various sources (EHR, Wearables) and formats (e.g., HL7/FHIR, CSV, PDF, PNG, JPEG). Skilled in analysing time-series data from wearable sensors or medical devices (e.g., ECG, PPG). Proficient ...

optimize machine learning models for disease prediction, early diagnosis and personalised healthcare solutions. Process and analyze structured and unstructured health data (EHR, Wearables, HL7/FHIR) and implement deep learning algorithms for predictive healthcare applications. Contribute to research on AI-driven personalization strategies to empower users in managing their health … clinical workflows. Expertise in handling missing data, outliers and feature engineering. Experience in processing Health data from various sources (EHR, Wearables) and formats (e.g., HL7/FHIR, CSV, PDF, PNG, JPEG). Skilled in analysing time-series data from wearable sensors or medical devices (e.g., ECG, PPG). Proficient ...

optimize machine learning models for disease prediction, early diagnosis and personalised healthcare solutions. Process and analyze structured and unstructured health data (EHR, Wearables, HL7/FHIR) and implement deep learning algorithms for predictive healthcare applications. Contribute to research on AI-driven personalization strategies to empower users in managing their health … clinical workflows. Expertise in handling missing data, outliers and feature engineering. Experience in processing Health data from various sources (EHR, Wearables) and formats (e.g., HL7/FHIR, CSV, PDF, PNG, JPEG). Skilled in analysing time-series data from wearable sensors or medical devices (e.g., ECG, PPG). Proficient ...

optimize machine learning models for disease prediction, early diagnosis and personalised healthcare solutions. Process and analyze structured and unstructured health data (EHR, Wearables, HL7/FHIR) and implement deep learning algorithms for predictive healthcare applications. Contribute to research on AI-driven personalization strategies to empower users in managing their health … clinical workflows. Expertise in handling missing data, outliers and feature engineering. Experience in processing Health data from various sources (EHR, Wearables) and formats (e.g., HL7/FHIR, CSV, PDF, PNG, JPEG). Skilled in analysing time-series data from wearable sensors or medical devices (e.g., ECG, PPG). Proficient ...

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