| 27 Jan 2016 | 12:00pm - 2:00pm | Seminar Room SG1, Alison Richard Building | |
- Description
Description
Dr Lydia Drumright (Department of Medicine, University of Cambridge)
Abstract
The Ethics of Big Data topic on ‘Patient Record Linkage in Hospitals’ will start with an introduction of some of the current activities and debates around Big Data in Health with respect to ethical and legal considerations. We will then focus on an all participant discussion of four key areas surround the Ethics of Big Data with respect to routinely collected medical data, with a particular focus on research including:
Consent, anonymization and opting in/out
Data sharing and data ownership
Data protection laws and ethics around use of patient data
Societal vs. individual protection and benefit
During Lent Term the Ethics of Big Data group will explore the challenges of applying ethical reasoning in different contexts connected with Big Data research. Our invited speakers will present and discuss case studies from data-driven health and policy research in Africa, administrative data research in the UK, the implementation of eHospital, a new digital platform linking patient records across Cambridge University Hospitals and research using social media data, including a study of the Islamic State organisation.
The first four case study presentations will be open to researchers by application and discussion will be conducted under Chatham House rules. If you are interested in attending please register at http://www.bigdata.cam.ac.uk/research/the-ethics-of-big-data/workshop-registration/Lent2016 and express your interest with a 100 word statement, explaining how your research will benefit from participation in the session.
Please note, spaces are limited and participants are encouraged to apply early to secure a place.
The term's programme will finish with a public session on 9 March where an invited panel of experts from a range of different disciplines will be invited to consider a 'mock' research proposal which brings together a variety of the challenges from the real life case studies and present their reasoning to the audience for discussion.
If you have a question about this talk, please contact the Session Convenor: Clare Dyer-Smith
Open to all but registration is required and a 100 word statement to participate in any of the first four sessions.
Part of the Ethics of Big Data Research Group, series
Administrative assistance: gradfac@crassh.cam.ac.uk
