In today’s practice, informed consent processes typically involve an in-person discussion between the study team and the potential participant, followed by the participant’s signature on a paper consent form. However, this process can be time-consuming and costly and may only sometimes be practical, especially in today’s shift to remote and hybrid modalities.

GPT-generated eConsent can potentially generate tailored explanations of the study’s purpose, risks, and benefits for each participant in a much shorter time. The model could reduce the burden on study teams by automating the consent process and freeing their time to focus on other study aspects. As we continue to explore the use of AI in clinical research, we must carefully consider the ethical implications and work to ensure that technology is used in ways that benefit both researchers and participants. What other potential applications of large language models in clinical research do you see, and what are the ethical implications of these applications?

Listen to our CEO & Founder for more from his perspective in this month’s Download with Derk.

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