启发式
过程(计算)
决策支持系统
护理部
知识管理
心理学
医学
认知
管理科学
计算机科学
人工智能
工程类
操作系统
神经科学
作者
Elizabeth A. Sloss,Terry Jones
出处
期刊:Cin-computers Informatics Nursing
日期:2021-05-03
卷期号:39 (12): 851-857
被引量:1
标识
DOI:10.1097/cin.0000000000000724
摘要
This article synthesizes theoretical perspectives related to nurse cognition. We present a conceptual model that can be used by multiple stakeholders to study and contemplate how nurses use clinical decision support systems, and specifically, Barcode-Assisted Medication Administration, to make decisions during the delivery of care. Theoretical perspectives integrated into the model include dual process theory, the Cognitive Continuum Theory, human factors engineering, and the Recognition-Primed Decision model. The resulting framework illustrates the process of nurse cognition during Barcode-Assisted Medication Administration. Additionally, the model includes individual or human and environmental factors that may influence nurse cognition and decision making. It is important to consider the influence of individual, human, and environmental factors on the process of nurse cognition and decision making. Specifically, it is necessary to explore the impact of heuristics and biases on clinician decision making, particularly related to the development of alarm and alert fatigue. Aided by the proposed framework, stakeholders may begin to identify heuristics and cognitive biases that influence the decision of clinicians to accept or override a clinical decision support system alert and whether heuristics and biases are associated with inappropriate alert override.
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