6 of 6 Electronic Patient Records Jobs in Scotland

safe transfer and transformation of patient records between Electronic Patient Record (EPR) systems, ensuring data quality, accuracy and integrity throughout. Building and maintaining strong working relationships with internal programme teams, analytics teams, external healthcare organisations, technical specialists … EPR suppliers. Coordinating data extraction, transformation, testing and migration activities, ensuring all parties understand their responsibilities and agreed deadlines. Identifying, managing and escalating project risks, issues and dependencies, maintaining accurate project documentation, RAID logs and decision records. Working closely with Information Governance and Clinical Safety colleagues to ensure data migrations ...

scientist you will join a team of clinicians with a long track record of working with population electronic health record (EHR) data (Pearson, Mordi) who work closely with colleagues from computing (Trucco, McKenna) with expertise in computer vision and AI image analysis. You will be expected … wrangle EHR data, and run frequentist and Bayesian statistical models, machine learning and deep learning models incorporating multimodal data. The strength, and challenge, of the data is the >25 years of longitudinal follow up and you will be expected to have or develop skills in longitudinal modelling, and development ...

thinking into what we build. The goal is not just to predict but to explain and understand why disease occurs. It could be electronic health records and medical imaging to support patient segmentation. It could be 'omics data … external data providers and technology partners. Strong understanding of biomedical and healthcare data domains, such as genomics, transcriptomics, multi-omics, imaging, clinical data, electronic health records or real-world data, alongside an understanding of machine learning data requirements, including versioning, reproducibility and tensor ...

thinking into what we build. The goal is not just to predict but to explain and understand why disease occurs. It could be electronic health records and medical imaging to support patient segmentation. It could be ‘omics data … delivery of robust data engineering pipelines that transform harmonised biomedical datasets into AI-ready, integrated assets across multi-omics, clinical and health records, and medical imaging data. You will be an experienced, independent data engineer within AI Enablement, owning significant data engineering workstreams within ...

thinking into what we build. The goal is not just to predict but to explain and understand why disease occurs. It could be electronic health records and medical imaging to support patient segmentation. It could be ‘omics data ...

Dundee invites applications for two health data scientist positions in the Pearson and Trucco groups. You will develop AI methods for electronic health records and imaging data to predict health outcomes … diabetes, explore ageing effects, and study drug impacts such as Ozempic, Mounjaro and Dapagliflozin. You will work with clinicians and computing colleagues on wrangling EHR data, building and validating models, and sharing results via reports and public code repositories. #J-18808-Ljbffr ...