Clinical Trials Arena November 25, 2024
Guidelines around data ownership will promote transparency and reduce conflicts over its usage.
Clinical trials are a key area in which the use of AI in healthcare data has seen significant growth, yet this introduces unique legal challenges. AI development often relies on data collected from clinical trials to train algorithms, requiring careful consideration of consent, data origin and ethical standards. When data is acquired from third-party sources, transparency about collection methods, geographic origin and anonymisation standards becomes critical. While consent forms used in clinical trials can offer clearer terms for data use, ambiguity remains about how this data can be reused for AI purposes after the trial ends.
One of the main concerns involves data re-identification, in which anonymised...
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