Literature DB >> 15797004

Identifying reasoning strategies in medical decision making: a methodological guide.

Jose F Arocha1, Dongwen Wang, Vimla L Patel.   

Abstract

Reasoning strategies are a key component in many medical tasks, including decision making, clinical problem solving, and understanding of medical texts. Identification of reasoning strategies used by clinicians may prove critical to the optimal design of decision support systems. This paper presents a formal method of cognitive-semantic analysis for the identification and characterization of reasoning strategies deployed in medical tasks and demonstrates its use through specific examples. Although semantic analysis was originally developed in the investigation of knowledge structures, it can also be applied to identify the reasoning and decision processes used by physicians and medical trainees in clinical tasks. Assumptions underlying the methods, as well as illustrations of their use in diagnostic explanation tasks, are presented. We discuss semantic analysis in the context of the current interests in developing medical ontologies and argue that a frame-based propositional analytic methodology can provide a systematic way of addressing the construction of such ontologies. Although the application of propositional analysis methods has some limitations, we show how such limitations are being addressed and present some examples of information tools that have been developed to ease, and make more systematic, the process of analysis.

Mesh:

Year:  2005        PMID: 15797004     DOI: 10.1016/j.jbi.2005.02.001

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


  18 in total

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Review 2.  Translational cognition for decision support in critical care environments: a review.

Authors:  Vimla L Patel; Jiajie Zhang; Nicole A Yoskowitz; Robert Green; Osman R Sayan
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4.  A qualitative analysis of EHR clinical document synthesis by clinicians.

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5.  Impact of a prototype visualization tool for new information in EHR clinical documents.

Authors:  O Farri; A Rahman; K A Monsen; R Zhang; S V Pakhomov; D S Pieczkiewicz; S M Speedie; G B Melton
Journal:  Appl Clin Inform       Date:  2012-10-31       Impact factor: 2.342

6.  Evaluating the effects of cognitive support on psychiatric clinical comprehension.

Authors:  Venkata V Dalai; Sana Khalid; Dinesh Gottipati; Thomas Kannampallil; Vineeth John; Brett Blatter; Vimla L Patel; Trevor Cohen
Journal:  Artif Intell Med       Date:  2014-08-19       Impact factor: 5.326

7.  A conditional model of evidence-based decision making.

Authors:  Paul R Falzer; Melissa D Garman
Journal:  J Eval Clin Pract       Date:  2009-12       Impact factor: 2.431

8.  Cognitive analysis of the summarization of longitudinal patient records.

Authors:  Daniel Reichert; David Kaufman; Benjamin Bloxham; Herbert Chase; Noémie Elhadad
Journal:  AMIA Annu Symp Proc       Date:  2010-11-13

9.  Modeling clinical judgment and implicit guideline compliance in the diagnosis of melanomas using machine learning.

Authors:  Andrea Sboner; Constantin F Aliferis
Journal:  AMIA Annu Symp Proc       Date:  2005

10.  A graphical clinical decision aid for managing imaging report information.

Authors:  James C Boysen; Zacariah K Shannon; Yasmeen A Khan; Breanne M Wells; Robert D Vining
Journal:  J Chiropr Educ       Date:  2017-12-19
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