Literature DB >> 27847328

Methodological framework for evaluating clinical processes: A cognitive informatics perspective.

Thomas G Kannampallil1, Joanna Abraham2, Vimla L Patel3.   

Abstract

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. Copyright Â
© 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Cognitive informatics; Complexity; Interactive clinical systems; Naturalistic environments; Process; Process-based approach

Mesh:

Year:  2016        PMID: 27847328     DOI: 10.1016/j.jbi.2016.11.002

Source DB:  PubMed          Journal:  J Biomed Inform        ISSN: 1532-0464            Impact factor:   6.317


  5 in total

1.  Accuracy is in the eyes of the pathologist: The visual interpretive process and diagnostic accuracy with digital whole slide images.

Authors:  Tad T Brunyé; Ezgi Mercan; Donald L Weaver; Joann G Elmore
Journal:  J Biomed Inform       Date:  2017-01-10       Impact factor: 6.317

2.  Toward Improving Surgical Outcomes by Incorporating Cognitive Load Measurement into Process-Driven Guidance.

Authors:  George S Avrunin; Lori A Clarke; Heather M Conboy; Leon J Osterweil; Roger D Dias; Steven J Yule; Julian M Goldman; Marco A Zenati
Journal:  Softw Eng Healthc Syst SEHS IEEE ACM Int Workshop       Date:  2018-05

3.  Efficiency of Emergency Physicians: Insights from an Observational Study using EHR Log Files.

Authors:  Thomas G Kannampallil; Courtney A Denton; Jason S Shapiro; Vimla L Patel
Journal:  Appl Clin Inform       Date:  2018-02-07       Impact factor: 2.342

4.  Cognitive plausibility in voice-based AI health counselors.

Authors:  Thomas Kannampallil; Joshua M Smyth; Steve Jones; Philip R O Payne; Jun Ma
Journal:  NPJ Digit Med       Date:  2020-05-15

5.  The Effects of Integrated IT Support on the Prehospital Stroke Process: Results from a Realistic Experiment.

Authors:  Magnus Andersson Hagiwara; Lars Lundberg; Bengt Arne Sjöqvist; Hanna Maurin Söderholm
Journal:  J Healthc Inform Res       Date:  2019-05-23
  5 in total

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