5 of 5 FHIR Jobs in London

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 ...

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 ...

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 effectively. … 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 in hypothesis formulation ...

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 effectively. … 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 in hypothesis formulation ...

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 effectively. … 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 in hypothesis formulation ...