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This paper introduces CUE-X, a novel evaluation framework designed to automatically assess the clinical usefulness of explanations generated by decision support systems for managing multimorbidity. CUE-X uses three evaluation dimensions: patient case relevance, evidence support, and comprehension. A prospective evaluation study involving Canadian and American physicians demonstrated the framework’s feasibility and showed alignment between CUE-X evaluations and physician assessments. These findings contribute to research on integrating human-centered evaluation metrics into the XAI field, paving the way for improving the uptake of decision support systems in clinical practice.

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CUE-X: A Framework for the Automatic Evaluation of Clinical Usefulness of Explanations for the Multimorbidity Problem

  • 会议论文

  • 发表日期：

    2025年

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  • Martin Michalowski,
  • Szymon Wilk,
  • Jenny M. Bauer,
  • Marc Carrier,
  • Herna Viktor,
  • Wojtek Michalowski

摘要

This paper introduces CUE-X, a novel evaluation framework designed to automatically assess the clinical usefulness of explanations generated by decision support systems for managing multimorbidity. CUE-X uses three evaluation dimensions: patient case relevance, evidence support, and comprehension. A prospective evaluation study involving Canadian and American physicians demonstrated the framework’s feasibility and showed alignment between CUE-X evaluations and physician assessments. These findings contribute to research on integrating human-centered evaluation metrics into the XAI field, paving the way for improving the uptake of decision support systems in clinical practice.