BEGIN:VCALENDAR
VERSION:2.0
PRODID:talks.ox.ac.uk
BEGIN:VEVENT
SUMMARY:Extracting features from electronic health records with shared ope
 n tools: ehrQL and OpenSAFELY - Dr Ben Goldacre (Dept of Primary Care Heal
 th Sciences\, University of Oxford)
DTSTART;VALUE=DATE-TIME:20260211T140000Z
DTEND;VALUE=DATE-TIME:20260211T150000Z
UID:https://talks.ox.ac.uk/talks/id/40000ebc-0966-4106-8560-9a234c9ca3c8/
DESCRIPTION:For our next talk\, in the Digital Phenotyping seminar series\
 , we will hear from Professor Ben Goldacre\, Director\, Bennett Institute 
 for Applied Data Science\; Bennett Professor of Evidence-Based Medicine\, 
 NDPCHS\, University of Oxford on Wednesday 11 February\, 2:00pm – 3:00pm
 \, at the Big Data Institute (BDI). \n\nTitle: Extracting features from el
 ectronic health records with shared open tools: ehrQL and OpenSAFELY\n\nDa
 te: Wednesday 11 February 2026\nTime: 2:00 pm - 3:00 pm\nVenue: BDI/OxPop\
 , Seminar Room 0\; followed by refreshments in the atrium\n\nAbstract:\nOp
 enSAFELY is a set of tools for working with raw electronic health records 
 data. The platform’s innovative methods for privacy and transparency hav
 e earned trust from key stakeholders\, and successfully delivered research
 ers access to an unprecedented scale of data: the full structured and link
 ed NHS GP EHR records of the whole population of England. OpenSAFELY has a
  large productive user-base from over 20 organisations. NHS England will b
 e expanding the service this year to permit non-COVID uses of the platform
 \; the tools are also being deployed in other nations on top of their loca
 l electronic health records\, as a federated analytics network. You can re
 ad more about the platform online: https://docs.opensafely.org/\n\nOpenSAF
 ELY users work with a wide range of standardised tools for efficient data 
 management\, specifically built to meet the needs of analysts working with
  EHR data\, facilitating open and reproducible analytics. This seminar wil
 l present those tools\, which can be used inside existing OpenSAFELY insta
 llations\, or as standalone services. There will be live coding demonstrat
 ions\; users can also read the documentation - or complete the online tuto
 rials with live interactive coding environments in the browser - on the li
 nks below. \n\n•	ehrQL or “Electronic Health Records Query Language”
  is the core EHR data management tool\, allowing portable\, legible\, comp
 osable\, standardised and shared code for feature extraction in clinical r
 ecords. \nhttps://docs.opensafely.org/ehrql/\nhttps://docs.opensafely.org/
 ehrql/tutorial/\nhttps://www.bennett.ox.ac.uk/blog/2023/09/why-ehrql/\n\n
 •	OpenCodeLists allows users to produce\, document and share codelists i
 n SNOMED-CT\, ICD10 and other terminologies.\nhttps://www.opencodelists.or
 g/\nhttps://www.bennett.ox.ac.uk/opencodelists/blog/\n\n•	OpenCodeCounts
  allows any interested user to explore the frequency of SNOMED-CT code usa
 ge in English primary care records\, through a freely accessible online br
 owser\, to infer feasibility and assist in building codelists.\nhttps://ww
 w.bennett.ox.ac.uk/blog/2025/10/introducing-opencodecounts/\n\n-----------
 ----------------------------------------------------------------------\nHy
 brid Option:\nPlease note that these meetings are closed meetings and only
  open to members of the University of Oxford. Please respect our speakers 
 and do not share the link with anyone outside of the University. The purpo
 se of these seminars is to foster more communication among employees throu
 ghout the University\, so we strongly advise in-person attendance whenever
  feasible.\n\n------------------------------------------------------------
 ---------------------\nMicrosoft Teams meeting \nhttps://teams.microsoft.c
 om/meet/35058292636481?p=6Dc9r5XHVIw1mrRSDJ\nMeeting ID:\n350 582 926 364 
 81\nPasscode:\nQ7ZC9F8B\n\n\n\n\n\nSpeakers:\nDr Ben Goldacre (Dept of Pri
 mary Care Health Sciences\, University of Oxford)
LOCATION:Big Data Institute (Seminar room 0)\, Old Road Campus OX3 7LF
TZID:Europe/London
URL:https://talks.ox.ac.uk/talks/id/40000ebc-0966-4106-8560-9a234c9ca3c8/
BEGIN:VALARM
ACTION:display
DESCRIPTION:Talk:Extracting features from electronic health records with s
 hared open tools: ehrQL and OpenSAFELY - Dr Ben Goldacre (Dept of Primary 
 Care Health Sciences\, University of Oxford)
TRIGGER:-PT1H
END:VALARM
END:VEVENT
END:VCALENDAR