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SUMMARY:Actionable analytics: harnessing electronic health record data to 
 improve mental healthcare outcomes - Dr Rashmi Patel\, King's College Lond
 on
DTSTART:20211125T123000Z
DTEND:20211125T133000Z
UID:TALK162145@talks.cam.ac.uk
CONTACT:87079
DESCRIPTION:*Abstract*\nIn this talk I will describe how electronic health
  record (EHR) data can be analysed to provide novel insights into the clin
 ical outcomes of people with serious mental disorders and how the analysis
  of unstructured\, free text clinical assessments using natural language p
 rocessing (NLP) could improve our understanding of clinical phenotypes and
  their associations with clinical outcomes. I will also describe how EHR d
 ata visualisation tools could provide clinicians with actionable insights 
 to support mental healthcare delivery in clinical practice.\n\n*Biography*
 \nDr Rashmi Patel is an NIHR Advanced Fellow at the Institute of Psychiatr
 y\, Psychology & Neuroscience (IoPPN)\, King’s College London (KCL) and 
 Vice President for Medical and Scientific Affairs at Holmusk\, a mental he
 althcare data analytics company specialising in real-world evidence genera
 tion from EHR data. He has developed NLP techniques to investigate clinica
 l outcomes in people with serious mental disorders using de-identified fre
 e text EHR data from the SLaM Biomedical Research Centre (BRC) Case Regist
 er. Dr Patel has been awarded an NIHR Advanced Fellowship to develop data 
 visualisation tools to feedback clinical data from EHRs to frontline clini
 cians to improve the delivery of remote mental healthcare. His vision is t
 o harness EHR and digital mental healthcare data to provide clinicians and
  patients with actionable insights to better personalise treatment deliver
 y and improve clinical outcomes. For more information on Dr Patel\, please
  visit: https://www.kcl.ac.uk/people/dr-rashmi-patel
LOCATION: Webinar  (via Zoom online)
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