6 of 6 FHIR Jobs in the UK excluding London

testing Experience with Git , Azure DevOps Pipelines , and agile delivery practices Strong problem-solving and communication skills Nice-to-Have Knowledge of HL7/FHIR or other healthcare data standards Experience with serverless architectures or containerisation (Docker, AKS, etc.) Familiarity with Terraform or other IaC tooling Interest in improving public ...

analyse structured and unstructured healthcare data, including EHRs, wearable sensor data, and medical signals Work with healthcare data standards such as HL7 and FHIR Develop and validate time series models using physiological signals such as ECG and PPG Apply explainable AI techniques to ensure transparency and trust in clinical settings ...

candidates with strong system integration experience. You don't need to tick every box, but experience with the following is highly desirable: HL7, FHIR, JSON, JavaScript, PowerShell SQL database design and querying REST APIs and Office 365 System integration and digital development background Ability to communicate technical concepts ...

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 ...

Enterprise Integration Systems Integration models and practice Cyber Security Data Architecture Master Data Management Data Modelling Data Standards COTS products Health Data standards e.g. FHiR Experience of project governance in one or more of Scottish Government, Local Government or NHS Digital including Agile/iterative working. Desirable Qualifications Experience ...

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 ...