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UID:62@oxon.bcs.org
DTSTART;TZID=Europe/London:20220414T193000
DTEND;TZID=Europe/London:20220414T210000
DTSTAMP:20220509T070349Z
URL:https://oxon.bcs.org/programme/big-data-computing-in-healthcare-opport
 unities-obstacles-and-outputs/
SUMMARY:Big Data Computing in Healthcare: Opportunities\, Obstacles\, and O
 utputs
DESCRIPTION:\nAssociate Professor Clare Bankhead\, Nuffield Department of P
 rimary Care Health Sciences\, University of Oxford\n\n\nAt every healthcar
 e encounter in the UK\, data are collected and stored in electronic health
 care records.  There is potential to link data from general practice reco
 rds with hospital records (outpatients\, accident and emergency and inpati
 ent hospital stays) and with other sources\, such as cancer and death regi
 strations.  We have access to thousands of observations on millions of pe
 ople\, over decades of years.\n\n\n\n\nThis raises the opportunity to harn
 ess the power and granularity of these data for medical research and ultim
 ately to improve clinical care and health outcomes.  Use of these resourc
 es have altered the scope\, and the speed\, of the epidemiology that may b
 e conducted.  Novel analytics\, including the application of artificial i
 ntelligence are increasing.  The combination of the availability of data 
 and the techniques are rapidly advancing our knowledge.\n\n\n\n\nHowever\,
  the use of these data also presents some obstacles.  We must remember th
 at this information is not collected for the purposes of medical research.
  It is not collected in a standardised way\, is not available at regular t
 ime intervals\, nor from everyone and is largely based on coded medical in
 formation.  Wrangling these records into an analysable form is a speciali
 st task.\n\n\n\n\nFurthermore\, the Government’s initiative to introduce
  a daily download of our medical data (which is separate from the current 
 research data available) may lead to increasing opt-outs.  Other consider
 ations include the sheer volume of these data\, leading to computational a
 nd statistical implications.\n\n\nThis talk will be illustrated with examp
 les of the research conducted using routinely collected healthcare data\, 
 including studies of rare diseases\, understanding disease risk factors\, 
 clinical prediction rules\, and monitoring of drug and vaccine effectivene
 ss and side effects.  Mention will also be made about how research findin
 gs have been used and integrated into clinical care.\n\nBio:\nClare Bankhe
 ad is an Associate Professor in the Nuffield Department of Primary Care He
 alth Sciences\, University of Oxford and a Fellow of Kellogg College She i
 s a senior epidemiologist with a special interest in research design and s
 tatistics.   Her main research focuses are on the use of large routine da
 tabases and digital health in medical research.  Research areas include h
 ealth service utilization\, diagnosis and monitoring of chronic diseases\,
  and cancer diagnosis.\nWe are Back!!!\nHybrid Meeting\n\n\nAfter 2 years 
 for running Branch meetings via Zoom\, our next event\, on 14 April\, "Big
  Data Computing in Healthcare" will be held both "in person" and "via Zoom
 ". (If this is successful\, and virus cases do not escalate\, we hope that
  subsequent meetings will also be of this hybrid type.)\n\n"In Person" Log
 istics\n\nThe "in person" meeting will be held at our usual meeting place:
  OeRC\, University of Oxford\, 6 Keble Road\, OX1 3QG. The meeting will co
 mmence at 7:30pm\, and light refreshments will be available beforehand. Pl
 ease register for the event as usual using the Eventbrite link on the webs
 ite or via MeetUp\, where you will be able to indicate whether you are att
 ending via Zoom or in person.\n\nCovid Guidelines\n\nAs the Covid infectio
 n is still with us \, we would request that "in person" attendees follow s
 ome sensible guidelines\, summarised below:\n\n 	please don't attend if yo
 u have any Covid symptoms or test positive\n 	respect other attendees by m
 aintaining social distancing both in the lecture theatre\, and when social
 ising before the event\n 	please wear masks when not eating\n 	we would re
 commend talking a Lateral Flow Test before attending the event\n\nWe will 
 be maximising the ventilation on the lecture theatre\, so attendees should
  be prepared for the lecture theatre to be cooler than usual.\n\nWe theref
 ore look forward to welcoming you on 14 April\, whether attending in perso
 n or via Zoom\, for what should be an interesting talk.\n\n
ATTACH;FMTTYPE=image/jpeg:https://oxon.bcs.org/wp-content/uploads/2021/09/
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LOCATION:Oxford e-Research Centre\, 7 Keble Road\, Oxford\, Oxfordshire\, O
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