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Unlocking linked real-world data presents opportunities to improve public health

Franklin, Matthew, Howdon, Dan, Mason, Suzanne, Stone, Tony and Jones, Monica (2022) Unlocking linked real-world data presents opportunities to improve public health. Impact of Social Sciences Blog (26 Jan 2022). Blog Entry.

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Abstract

The COVID-19 pandemic has surfaced the potential and risks of linked real word datasets to accelerate and produce new improvements in public health. In this post, Matthew Franklin, Dan Howdon, Suzanne Mason, Tony Stone, Monica Jones, outline the opportunities and challenges of using real world data as part of the ‘Unlocking data to inform public health policy and practice’ project. Highlighting the ethical and practical challenges of accessing this data, they argue investing in and developing trust across those involved in the formation of real world data is critical to its effective use.

Item Type: Online resource (Blog Entry)
Official URL: https://blogs.lse.ac.uk/impactofsocialsciences/
Additional Information: © 2022 The Authors
Divisions: LSE
Subjects: H Social Sciences > HM Sociology
H Social Sciences > HN Social history and conditions. Social problems. Social reform
R Medicine > RA Public aspects of medicine
Date Deposited: 22 Mar 2022 15:48
Last Modified: 22 Mar 2022 15:48
URI: http://eprints.lse.ac.uk/id/eprint/114164

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