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Heuristics in Managing Complex Clinical Decision Tasks in Experts' Decision Making

机译：在专家决策中管理复杂临床决策任务的启发式

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摘要

Background: Clinical decision support is a tool to help experts make optimal and efficient decisions. However, little is known about the high level of abstractions in the thinking process for the experts. Objective: The objective of the study is to understand how clinicians manage complexity while dealing with complex clinical decision tasks. Method: After approval from the Institutional Review Board (IRB), three clinical experts were interviewed the transcripts from these interviews were analyzed. Results: We found five broad categories of strategies by experts for managing complex clinical decision tasks: decision conflict, mental projection, decision trade-offs, managing uncertainty and generating rule of thumb. Conclusion: Complexity is created by decision conflicts, mental projection, limited options and treatment uncertainty. Experts cope with complexity in a variety of ways, including using efficient and fast decision strategies to simplify complex decision tasks, mentally simulating outcomes and focusing on only the most relevant information. Application: Understanding complex decision making processes can help design allocation based on the complexity of task for clinical decision support design.
机译：背景：临床决策支持是一种帮助专家做出最佳和有效决策的工具。但是，关于专家思维过程中的高水平抽象知之甚少。目的：该研究的目的是了解临床医生如何在处理复杂的临床决策任务时如何管理复杂性。方法：批准机构审查委员会（IRB）后，采访了三个临床专家，分析了这些访谈的成绩单。结果：我们通过专家发现了五大类战略，用于管理复杂的临床决策任务：决策冲突，心理预测，决策权，管理不确定性和拇指的规则。结论：复杂性是通过决策冲突，精神预测，有限的选择和治疗不确定性创造的。专家以各种方式应对复杂性，包括使用有效和快速的决策策略来简化复杂的决策任务，精神上模拟结果并专注于最相关的信息。应用：了解复杂的决策过程可以帮助根据临床决策支持设计任务的复杂性设计分配。

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