Clinicians' Voice: Fundamental Considerations for XAI in Healthcare

• URL: http://arxiv.org/abs/2411.04855v1
• Date: Thu, 07 Nov 2024 16:47:06 GMT
• Title: Clinicians' Voice: Fundamental Considerations for XAI in Healthcare
• Authors: T. E. Röber, R. Goedhart, S. İ. Birbil,
• Abstract summary: We conduct semi-structured interviews with clinicians to discuss their thoughts, hopes, and concerns. We find that clinicians generally think positively about developing AI-based tools for clinical practice. They have concerns about how these will fit into their workflow and how it will impact clinician-patient relations.
• Score: 0.0
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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 is disconnected from its practical applications and lacks input of end users. To address this, we conducted semi-structured interviews with clinicians to discuss their thoughts, hopes, and concerns. We find that clinicians 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 education 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, which is necessary before moving on to testing specific (X)AI products for healthcare.

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