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Data science for mental health – new paper published in Lancet Psychiatry

Data science could be a major catalyst for improved mental health outcomes, says a new paper published in the Lancet Psychiatry by members of the MQ Data Science Group.

Exploring the role – and potential – of mental health data science, the authors argue that the field could benefit mental health diagnosis and treatments, whilst delivering a step-change in the way health care is provided and research is organised. 

The MQ Data Science Group, bringing together world-experts in this area, has been convened to better understand the data science landscape and drive improvements in the availability and use of data for mental health.

The UK is particularly well placed to harness the power of data science, and trial new approaches too. NHS-linked data-science projects, such as the UK Biobank, Generation Scotland, and the Clinical Record Interactive Search (CRIS) Programme, provide UK researchers with the tools and data-sets to drive forward progress in mental health.

Next week we are announcing a major new funding programme for data science research into mental health. This will build on the work of the MQ Data Science group, and enable pioneering research to be carried out in this area. 

Unable to access the published version? Download a copy of the manuscript (PDF). 

Last updated: 3 October 2016

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