Great Ormond Street Hospital (GOSH) has launched two new projects through its Data Research, Innovation and Virtual Environments (DRIVE) unit.
Two fellows from Faculty, an artificial intelligence company, have joined GOSH to explore how datasets can accelerate research and improve outcomes for patients.
Doctor Omar Jahangir will be working on a project to develop a new approach for understanding lab results, to allow them to be used more effectively in research to guide diagnosis and decision-making.
The project will involve developing an understanding of which lab results are the most important, developing an AI model for identifying abnormal lab results, and validating how good the model is at uncovering abnormalities in the data. As children and young people often have rare conditions which can be hard to diagnose, this project will be particularly important for GOSH patients.
Doctor David Peinador-Veiga will be working on a project to develop support for decision-making, by investigating and testing a new way of using data to help clinicians predict treatment routes. This project will explore how information on diagnosis and medical procedures interact, and analyse certain diagnoses and medical procedures to understand what makes them more likely to be required and when.
Faculty builds and deploys AI technology across the NHS and hosts a Fellowship programme to support academics in science, technology, engineering and mathematics train at Faculty before beginning placements as a data scientist at a host company, such as GOSH.
Zillah Anderson, Director at Faculty, commented on the projects: “We are delighted to have kicked off our partnership with GOSH which marks the start of an exciting collaboration and the beginning of an interesting journey to understand GOSH data in order to enhance patient care.”
