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arXiv · 2411.04855

Clinicians' Voice: Fundamental Considerations for XAI in Healthcare

T. E. Röber·R. Goedhart·S. İ. Birbil
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Abstract

Explainable AI (XAI) holds the promise of advancing the implementation and adoption of AI-based tools in practice, especially in high-stakes environments like healthcare. However, most of the current research lacks input from end users, and therefore their practical value is limited. To address this, we conducted semi-structured interviews with clinicians to discuss their thoughts, hopes, and concerns. Clinicians from our sample generally think positively about developing AI-based tools for clinical practice, but they have concerns about how these will fit into their workflow and how it will impact clinician-patient relations. We further identify training of clinicians on AI as a crucial factor for the success of AI in healthcare and highlight aspects clinicians are looking for in (X)AI-based tools. In contrast to other studies, we take on a holistic and exploratory perspective to identify general requirements for (X)AI products for healthcare before moving on to testing specific tools.

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T. E. Röber, R. Goedhart, S. İ. Birbil. 2024-11-07. Clinicians' Voice: Fundamental Considerations for XAI in Healthcare. https://arxiv.org/abs/2411.04855

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