Do Novice and Expert Users of Clinical Decision Support Tools Need Different Explanations?

Haadi Mombini, Bengisu Tulu, Diane Strong, Emmanuel Agu, Clifford Lindsay, Lorraine Loretz, Peder Pedersen, Raymond Dunn
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Abstract

A key requirement for the successful adoption of clinical decision support systems (CDSS) is their ability to provide users with reliable explanations for any given recommendation which can be challenging for some tasks such as wound management decisions. Despite the abundance of decision guidelines, wound non-expert (novice hereafter) clinicians who usually provide most of the treatments still have decision uncertainties. Our goal is to evaluate the use of a Wound CDSS smartphone App that provides explanations for recommendations it produces. The App utilizes wound images taken by the novice clinician using smartphone camera. This study experiments with two proposed variations of rule-tracing explanations called verbose-based and gist-based. Deriving upon theories of decision making, and unlike prior literature that says rule-tracing explanations are only preferred by novices, we hypothesize that, rule-tracing explanations are preferred by both clinicians but in different forms: novices prefer verbose-based rule-tracing and experts prefer gist-based rule-tracing.

临床决策支持工具的新手和专家用户需要不同的解释吗?
成功采用临床决策支持系统(CDSS)的一个关键要求是它们能够为用户提供任何给定建议的可靠解释,这些建议对于某些任务(如伤口管理决策)可能具有挑战性。尽管有丰富的决策指南,通常提供大多数治疗的伤口非专家(以下简称新手)临床医生仍然存在决策不确定性。我们的目标是评估Wound CDSS智能手机应用程序的使用情况,该应用程序为其产生的建议提供解释。该应用程序利用临床新手使用智能手机相机拍摄的伤口图像。本研究用两种不同的规则追踪解释进行了实验,这两种解释分别是基于冗余的和基于要点的。在决策理论的基础上,不同于先前文献中认为规则追踪解释仅为新手偏好的观点,我们假设规则追踪解释同时被临床医生所偏好,但形式不同:新手偏好基于冗长的规则追踪,而专家偏好基于清单的规则追踪。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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