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Data science for mental health – a UK perspective on a global challenge

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http://www.thelancet.com/pdfs/journals/lanpsy/PIIS2215-0366%2816%2930089-X.pdf
Original languageEnglish
Pages (from-to)993-998
Number of pages6
JournalLancet Psychiatry
Volume3
Issue number10
Early online date1 Oct 2016
DOIs
Publication statusPublished - Oct 2016

Abstract

Data science extracts new knowledge from high dimensional datasets through computer science and statistics. Mental health research, diagnosis and treatment can benefit from data science using consented cohort studies, genomics, routine healthcare and administrative data. The UK is well placed to trial these approaches through well annotated and NHS-linked data science projects, such as UK Biobank, Generation Scotland and the Clinical Record Interactive Search (CRIS) programme. Data science has great potential as a low cost, high return catalyst for how mental health problems may be better recognised, understood, supported and outcomes improved. Lessons learnt from such studies have the potential for global reach in terms of both their output and impact.

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