SAFEHR (Secure or Anonymised Framework for Electronic Health Records), is a collaborative initiative that brings together teams from UCLH and UCL including UCL’s Advanced Research Computing Centre, along with other digital health stakeholders.
Our focus is to facilitate streamlined data access and extraction, particularly for multimodal datasets, benefiting the broader BRC community, for bringing together imaging and structure data with free text.
Our team consists of Data Engineers, programme managers and governance experts can be found below.
Our Capabilities
- DAP-R / DAP-R Express, devolved HRA approval for anonymised data studies at UCL/H.
- PIXL, an advanced imaging pipeline which allows streamlined access to structured, unstructured, and imaging data, including MRI and CT scans.
- CogStack, a software running as a service to facilitate free-text processing of documents (e.g. GP and referral letters, medical reports), information extraction and information retrieval using different natural language processing tools.
- OMOP – ES, OMOP Extraction System is a data extraction pipeline that we designed to easily allow new types of data to be incorporated, enforce high quality mapping and be portable to other EPIC sites.
- EMAP, a unique, real-time shadow of the EHRS that permits development and deployment of machine learning for health.
- Data Access for Education, a major initiative in which approved educations and students will have access to UCLH’s anonymised patient database to improve healthcare teaching and training.
- NIHR Health Informatics Collaborative (HIC), a collaboration between different BRCs, bringing together clinical, scientific and informatics expertise at each trust to improve the quality and availability of patient information.
Contact details
BRC UCLH/UCL SAFEHR
UCL Institute of Health Informatics
222 Euston Road
London NW1 2DA
Email: uclh.safehr@nhs.net
Leadership Team
UCLH Chief Research Information Officer, NHS Critical Care Consultant and Honorary Associate Professor at UCL Institute of Health Informatics