Abstract:

This study examines the conflicts and tensions arising from the implementation of AI technology in healthcare organisations, using a theoretical framework of paradox theory. Specifically, we present a case study of a Chinese hospital that abandoned the implementation of an AI-based Cancer Diagnosis System. Through interviewing seven members, we find that AI implementation in healthcare organisations is highly complex and cannot be fully covered by the classification claims of learning, organising, performing, and belonging tension proposed in the paradox theory. To address this problem, we extend the classification of tension by introducing the concept of technologing tensions, which provides a more comprehensive perspective to study tension within organisations during the AI implementation stage. The contribution of this study enhances the understanding of the tensions within organisations during the implementation of AI, which facilitates the promotion of AI-based applications in healthcare and contributes to the development of paradox theory.

Please choose your submission type: Full Paper

Primary Track: eBusiness and Government

Keywords: Technological solutions (e.g. utilising artificial intelligence, augmented reality and virtual reality) and sustainability,e-government, e-public services, e-health, e-learning,Digital transformation and governance (e.g., information systems-enabled public sector reform and change),Artificial intelligence and machine learning,Emerging opportunities and challenges related to topical developments (e.g. nanotechnology, edge computing, quantum computing)

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Ms. Zeng Li