SNOMED CT Basics

Denise was the Principal Terminology Implementation and Education Specialist at NHS Digital (now known as NHS England). In this role, she has been the terminology SME (subject matter expert) for the project to transition general practice to SNOMED, has led the work for SNOMED CT in mental health and was project manager and SME lead delivering the COVID 19 national test results into GP records. Denise has also worked with a number system suppliers to drive the implementation of SNOMED CT as well as working with of professional bodies to delivering awareness and training for clinicians. Previously, she has held various posts in Huddersfield University from Senior Lecturer in Software Engineering to Director of Research and Knowledge Transfer. Denise has a MA in Software Systems Design from Manchester University, MA in Education from Open University, and BA (First-Class Honours) in Computing and Mathematics from Lancaster University.

Tejal is a Lecturer in the School of Computing at Newcastle University and a Fellow of the Higher Education Academy. She is involved in designing computing courses for professionals from non-computing backgrounds and teaches on the Level 7 Digital and Technology Solutions Specialist degree apprenticeship. Previously, she was a Research Associate in the Institute of Health and Society at Newcastle University working on the Connected Health Cities (CHC) Programme. Prior to joining Newcastle University, she worked as a Research Assistant in the School of Information Technologies at the University of Sydney where she was responsible for implementing SNOMED CT in the in-house health information system that was developed as part of a research project.

Tejal originally trained as a dentist in India but moved into informatics through a Master’s in Health Informatics from the University of Sydney and subsequently, a PhD in Computer Science from the University of New South Wales, Australia. Her PhD research involved the application of ontologies such as SNOMED CT for decision support in the medical as well as dental domains. Her current research interests include knowledge representation and reasoning with a particular focus on the application of semantic web technologies to domains with complex data modelling and analytics requirements such as IoT and healthcare.