Sharing Your Healthcare Data Safely - SafeData

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.

Intro
Introductions
Where to start
Types of records
Clinical codes
Technical bits
Case study
Text analysis
Deidentified data
Can computers read text
Challenges in human text
Governance
Citizens Jury
Recommendations
Asking for consent
Identifying People
Whitelisting
Import
Whitelist
Whitelist example
Whitelist limitations
Common concerns
Reasons to be cautious
Learning points
Data governance standards