title: Cohort profile of the South London and Maudsley NHS Foundation Trust Biomedical Research Centre (SLaM BRC) Case Register: current status and recent enhancement of an Electronic Mental Health Record-derived data resource.
abstract: OBJECTIVE
  The South London and Maudsley National Health Service (NHS) Foundation Trust Biomedical Research Centre (SLaM BRC) Case Register and its Clinical Record Interactive Search (CRIS) application were developed in 2008, generating a research repository of real-time, anonymised, structured and open-text data derived from the electronic health record system used by SLaM, a large mental healthcare provider in southeast London. In this paper, we update this register's descriptive data, and describe the substantial expansion and extension of the data resource since its original development.
  
  
  METHODS
  Descriptive data were generated from the SLaM BRC Case Register on 31 December 2014. Currently, there are over 250,000 patient records accessed through CRIS.
  
  
  RESULTS
  Since 2008, the most significant developments in the SLaM BRC Case Register have been the introduction of natural language processing to extract structured data from open-text fields, linkages to external sources of data, and the addition of a parallel relational database (Structured Query Language) output. Natural language processing applications to date have brought in new and hitherto inaccessible data on cognitive function, education, social care receipt, smoking, diagnostic statements and pharmacotherapy. In addition, through external data linkages, large volumes of supplementary information have been accessed on mortality, hospital attendances and cancer registrations.
  Coupled with robust data security and governance structures, electronic health records provide potentially transformative information on mental disorders and outcomes in routine clinical care. The SLaM BRC Case Register continues to grow as a database, with approximately 20,000 new cases added each year, in addition to extension of follow-up for existing cases. Data linkages and natural language processing present important opportunities to enhance this type of research resource further, achieving both volume and depth of data. However, research projects still need to be carefully tailored, so that they take into account the nature and quality of the source information.
authors.affiliation: King's College London (Institute of Psychiatry, Psychology and Neuroscience), London, UK.
authors.forename: Gayan
authors.initials: G
authors.lastname: Perera
authors.affiliation: South London and Maudsley NHS Foundation Trust, London, UK.
authors.forename: Matthew
authors.initials: M
authors.lastname: Broadbent
authors.affiliation: Durham University, Durham, UK.
authors.forename: Felicity
authors.initials: F
authors.lastname: Callard
authors.affiliation: King's College London (Institute of Psychiatry, Psychology and Neuroscience), London, UK.
authors.forename: Chin-Kuo
authors.initials: CK
authors.lastname: Chang
authors.affiliation: King's College London (Institute of Psychiatry, Psychology and Neuroscience), London, UK.
authors.forename: Johnny
authors.initials: J
authors.lastname: Downs
authors.affiliation: King's College London (Institute of Psychiatry, Psychology and Neuroscience), London, UK.
authors.forename: Rina
authors.initials: R
authors.lastname: Dutta
authors.affiliation: King's College London (Institute of Psychiatry, Psychology and Neuroscience), London, UK.
authors.forename: Andrea
authors.initials: A
authors.lastname: Fernandes
authors.affiliation: King's College London (Institute of Psychiatry, Psychology and Neuroscience), London, UK.
authors.forename: Richard D
authors.initials: RD
authors.lastname: Hayes
authors.affiliation: King's College London (Institute of Psychiatry, Psychology and Neuroscience), London, UK.
authors.forename: Max
authors.initials: M
authors.lastname: Henderson
authors.affiliation: King's College London (Institute of Psychiatry, Psychology and Neuroscience), London, UK.
authors.forename: Richard
authors.initials: R
authors.lastname: Jackson
authors.affiliation: King's College London (Institute of Psychiatry, Psychology and Neuroscience), London, UK.
authors.forename: Amelia
authors.initials: A
authors.lastname: Jewell
authors.affiliation: King's College London (Institute of Psychiatry, Psychology and Neuroscience), London, UK.
authors.forename: Giouliana
authors.initials: G
authors.lastname: Kadra
authors.affiliation: South London and Maudsley NHS Foundation Trust, London, UK.
authors.forename: Ryan
authors.initials: R
authors.lastname: Little
authors.affiliation: King's College London (Institute of Psychiatry, Psychology and Neuroscience), London, UK.
authors.forename: Megan
authors.initials: M
authors.lastname: Pritchard
authors.affiliation: South London and Maudsley NHS Foundation Trust, London, UK.
authors.forename: Hitesh
authors.initials: H
authors.lastname: Shetty
authors.affiliation: King's College London (Institute of Psychiatry, Psychology and Neuroscience), London, UK.
authors.forename: Alex
authors.initials: A
authors.lastname: Tulloch
authors.affiliation: King's College London (Institute of Psychiatry, Psychology and Neuroscience), London, UK.
authors.forename: Robert
authors.initials: R
authors.lastname: Stewart
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D057225:Data Mining / Q000379:methods; D016208:Databases, Factual; D003710:Demography; D057286:Electronic Health Records; D005260:Female; D006801:Humans; D008131:London; D008297:Male; D001523:Mental Disorders / Q000145:classification / Q000453:epidemiology*; D008605:Mental Health Services / Q000706:statistics & numerical data*; D008875:Middle Aged; D012042:Registries; D055815:Young Adult
keywords: BIOTECHNOLOGY & BIOINFORMATICS; EPIDEMIOLOGY; MENTAL HEALTH; PSYCHIATRY