Information governance as a socio-technical process in the development of trustworthy healthcare AI

Author:

Rees Nigel,Holding Kelly,Sujan Mark

Abstract

In this paper we describe our experiences of managing information governance (IG) processes for the assurance of healthcare AI, using the example of an out-of-hospital-cardiac-arrest recognition software within the context of the Welsh Ambulance Service. We frame IG as a socio-technical process. IG processes for the development of trustworthy healthcare AI rely on information governance work, which entails dialogue, negotiation, and trade-offs around the legal basis for data sharing, data requirements and data control. Information governance work should start early in the design life cycle and will likely continue throughout. This includes a focus on establishing and building relationships, as well as a focus on organizational readiness and deeper understanding of both AI technologies as well as their safety assurance requirements.

Publisher

Frontiers Media SA

Subject

Computer Science Applications,Computer Vision and Pattern Recognition,Human-Computer Interaction,Computer Science (miscellaneous)

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Exploring the risks of automation bias in healthcare artificial intelligence applications: A Bowtie analysis;Journal of Safety Science and Resilience;2024-07

2. Spatial Data Infrastructure for Information Governance;Advances in Information Quality and Management;2024-03-29

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