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SUMMARY:BSU Seminar: &quot\;Challenges in risk prediction using routinely 
 collected health data&quot\; - Dr Elizabeth Williamson\, London School of 
 Hygiene and Tropical Medicine 
DTSTART:20220714T130000Z
DTEND:20220714T140000Z
UID:TALK176615@talks.cam.ac.uk
CONTACT:Alison Quenault
DESCRIPTION:Identifying who is at highest risk of severe consequences of C
 OVID-19\, such as hospitalisation or death\, is an important component of 
 any policy response. One of the best sources of information on who experie
 nces these events is linked electronic health record data. Using these dat
 a to identify high-risk patients\, however\, raises a number of methodolog
 ical challenges. This talk discusses the use of linked primary care data w
 ithin the OpenSAFELY platform to predict risk of COVID-19 mortality and th
 e challenges of doing so. 
LOCATION:Venue to be confirmed
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