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Study mode:
on
1
Intro
2
Introductions
3
Where to start
4
Types of records
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Clinical codes
6
Technical bits
7
Case study
8
Text analysis
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Deidentified data
10
Can computers read text
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Challenges in human text
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Governance
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Citizens Jury
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Recommendations
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Asking for consent
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Identifying People
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Whitelisting
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Import
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Whitelist
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Whitelist example
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Whitelist limitations
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Common concerns
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Reasons to be cautious
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Learning points
25
Data governance standards
Description:
Explore the complexities of sharing healthcare data safely in this 1-hour 29-minute workshop from the Alan Turing Institute. Gain insights into the potential of clinical information in medical notes for research purposes and the challenges of maintaining patient privacy. Examine various safeguards and data governance frameworks proposed by Healtex, a research network for healthcare text analytics. Delve into topics such as types of medical records, clinical codes, text analysis techniques, de-identification methods, and the use of artificial intelligence in processing human-written text. Discuss ethical considerations, including consent processes, citizen juries, and common concerns surrounding data sharing. Learn about whitelisting and its limitations, as well as key learning points for establishing robust data governance standards in healthcare research.

Sharing Your Healthcare Data Safely - SafeData

Alan Turing Institute
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