Research Fellow and Data Analyst Developer
Samantha is a Research Fellow studying for an MRC-funded PhD in the use of electronic health records research to develop insight into routine musculoskeletal care. She investigates patterns in treatment, resource use and outcomes for common inflammatory musculoskeletal diseases including gout and Ankylosing Spondylitis. Her work applies data and process mining techniques to electronic health record data. Samantha’s interests lie in the analysis and visualisation of routine data, developing processes to optimise information governance in data analytics, and embedding research outcomes in the clinical domain.
Her previous work with clinical systems, mainly TPP SystmOne, LTHT PPM and the CRN trials database, includes developing ResearchOne – an organisation for pseudonymous records research – for which she was awarded the Research Councils UK award for Knowledge Transfer Partnership with the most academic impact, 2014, and developing the first daily national symptom surveillance system with PHE and TPP.
She is also part of the University of Leeds Data Services Team that provides data handling support to the Leeds Institute for Data Analytics. She leads the information governance and data handling processes for a Macmillan-funded project that links GP, community and hospital data to assess long-term cancer care. She also works on de-identification processes for electronic health data, linkage and spatio-temporal data and an Information Security Management System for the institute.