AI And The ‘Diffusion’ Of Responsibilities In Decentralized Trials

Experts argue that current guidelines on attributing responsibilities in clinical trials point in the right direction but lack the specificity to address the diffusion of responsibilities caused by the use of AI systems in decentralized studies.

Communication of people in the business of the company. Delegation of work and responsibilities. Functioning of departments and divisions of the company. Decentralized networking. Teamwork cooperation
Responsibility diffusion makes it harder to trace outcomes back to individual actions (Shutterstock)
Key Takeaways
  • The use of AI-driven systems in decentralized clinical trials can lead to the diffusion of responsibilities across multiple actors and technologies, complicating oversight and accountability.
  • Three experts, in partnership with the EU initiatives Trials@Home and Hypermarker, have published a paper recommending that trial sponsors follow a three-step approach to manage diffused responsibilities in a more effectively.
  • They suggest that sponsors should map tasks and duties into distinct clusters, identify risks and challenges for knowledge and control, and organize communication.

The use of artificial intelligence (AI)-driven systems in decentralized clinical trials (DCTs) can result in the “diffusion” of responsibilities across multiple actors and technologies, and requires study sponsors to look...

Instead of simply focusing on establishing effective communication lines between the various actors involved in a trial, sponsors should follow a three-step approach that entails mapping tasks and duties, identifying...

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