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SUMMARY:Mind the (data) gap: turning data into action to reduce the burden
  of myocardial infarction - Dr. Perviz Asaria (Imperial)
DTSTART:20260310T123000Z
DTEND:20260310T133000Z
UID:TALK245374@talks.cam.ac.uk
CONTACT:Spencer Keene
DESCRIPTION:Around half of myocardial infarction deaths still occur withou
 t a prior hospital admission. This challenges conventional surveillance\, 
 highlights the risk of selection bias inherent in hospital-based datasets.
  From a clinical cardiology standpoint\, we will examine what large admini
 strative datasets can and cannot tell us about the epidemiology of myocard
 ial infarction in England. Are these data sufficiently robust to shape pol
 icy and drive meaningful change? Drawing on a real-world example from prim
 ary care in North West London\, we will consider whether current data syst
 ems can move beyond describing burden to reducing it - and whether linked 
 primary care data can move us towards a whole system perspective to close 
 the gap between measurement and action.
LOCATION:Heart and Lung Research Institute (0.R100&amp\;101&amp\;102)
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