Methodological framework for evaluating clinical processes: A cognitive informatics perspective

被引:9
|
作者
Kannampallil, Thomas G. [1 ]
Abraham, Joanna [2 ]
Patel, Vimla L. [3 ]
机构
[1] Univ Illinois, Coll Med, Dept Family Med, 1919 West Taylor St, Chicago, IL 60607 USA
[2] Univ Illinois, Coll Appl Hlth Sci, Dept Biomed & Hlth Informat Sci, Chicago, IL USA
[3] New York Acad Med, Ctr Cognit Studies Med & Publ Hlth, New York, NY USA
基金
美国医疗保健研究与质量局;
关键词
Cognitive informatics; Interactive clinical systems; Process; Process-based approach; Naturalistic environments; Complexity; HEALTH-CARE-SYSTEMS; COMPLEXITY SCIENCE; TECHNOLOGY; HANDOFFS; WORKFLOW; ERRORS; ENVIRONMENTS; STRATEGIES; DESIGN; MODELS;
D O I
10.1016/j.jbi.2016.11.002
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
We propose a methodological framework for evaluating clinical cognitive activities in complex real world environments that provides a guiding framework for characterizing the patterns of activities. This approach, which we refer to as a process-based approach, is particularly relevant to cognitive informatics (CI) research-an interdisciplinary domain utilizing cognitive approaches in the study of computing systems and applications-as it provides new ways for understanding human information processing, interactions, and behaviors. Using this approach involves the identification of a process of interest (e.g., a clinical workflow), and the contributing sequences of activities in that process (e.g., medication ordering). A variety of analytical approaches can then be used to characterize the inherent dependencies and relations within the contributing activities within the considered process. Using examples drawn from our own research and the extant research literature, we describe the theoretical foundations of the process-based approach, relevant practical and pragmatic considerations for using such an approach, and a generic framework for applying this approach for evaluation studies in clinical settings. We also discuss the potential for this approach in future evaluations of interactive clinical systems, given the need for new approaches for evaluation, and significant opportunities for automated, unobtrusive data collection. (C) 2016 Elsevier Inc. All rights reserved.
引用
收藏
页码:342 / 351
页数:10
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