The ultimate aim of this project is to deliver a new model of personalised care for mental health disorders by utilising genetic and clinical data sets to ‘predict’ - for the first time – the likely success, of psychological treatment protocols for paediatric anxiety As data-sharing facilitates access to growing national and international data sets of comparable cases, the key genetic and clinical indicators of treatment outcomes can, first, be identified and, subsequently, be harnessed to inform treatment decisions and ‘predict’ their success. We will evaluate a cost-effective, easy to use ‘risk metric’ that will greatly enhance outcomes by accurately matching treatments, and their timing, to individual patient’s needs. Across the global healthcare sector, rapid advances in biomedical science, digital information technology and ubiquitous, instant global connectivity are converging, facilitating a revolution in targeted, personalised healthcare. Such benefits must be similarly leveraged to improve mental healthcare.
|Effective start/end date||1/01/19 → 31/12/19|