Pattern recognition as an indicator of diagnostic expertise

Expertise is typically associated with high levels of experience in a domain. However, high levels of experience do not necessarily mean that operators are capable of performing at the level of expertise. Based on evidence that pattern-recognition is the foundation of expert diagnostic performance, two studies investigated the utility of distinguishing competent from expert practitioners using measures of the component tasks of pattern-recognition. In two dissimilar domains, performance across the tasks clustered into two levels, reflecting competence and expertise. Performance on the tasks was only weakly correlated with years of experience in the domain. The significance of these results is discussed in relation to assessment and training evaluation.

[1]  Mark W. Wiggins,et al.  Examining cue recognition across expertise using a computer-based task , 2009 .

[2]  H. Simon,et al.  Skill in Chess , 1988 .

[3]  David O'Hare,et al.  Expertise in aeronautical weather-related decision making: A cross-sectional analysis of general aviation pilots , 1995 .

[4]  John R. Anderson A spreading activation theory of memory. , 1983 .

[5]  C. Stevens,et al.  Expert, intermediate and novice performance during simulated pre‐flight decision‐making , 2002 .

[6]  C. J. H. Blignaut The perception of hazard I. Hazard analysis and the contribution of visual search to hazard perception , 1979 .

[7]  Lee Brooks,et al.  Non‐analytical models of clinical reasoning: the role of experience , 2007, Medical education.

[8]  Mark W. Wiggins Cue-based processing and human performance , 2006 .

[9]  James Shanteau,et al.  Why study expert decision making? Some historical perspectives and comments. , 1992 .

[10]  K. A. Ericsson,et al.  Expert and exceptional performance: evidence of maximal adaptation to task constraints. , 1996, Annual review of psychology.

[11]  J. Clarkson,et al.  Medical education 2007. , 2007, Archives of ophthalmology.

[12]  Mark W. Wiggins,et al.  User Preference for a Control-Based Reduced Processing Decision Support Interface , 2010, Int. J. Hum. Comput. Interact..

[13]  David J. Weiss,et al.  Empirical Assessment of Expertise , 2003, Hum. Factors.

[14]  David O'Hare,et al.  Weatherwise: Evaluation of a Cue-Based Training Approach for the Recognition of Deteriorating Weather Conditions during Flight , 2003, Hum. Factors.

[15]  John Sweller,et al.  Cognitive Load During Problem Solving: Effects on Learning , 1988, Cogn. Sci..

[16]  Jens Rasmussen,et al.  Skills, rules, and knowledge; signals, signs, and symbols, and other distinctions in human performance models , 1983, IEEE Transactions on Systems, Man, and Cybernetics.

[17]  R. Ratcliff,et al.  Sequential effects in lexical decision: tests of compound-cue retrieval theory. , 1995, Journal of experimental psychology. Learning, memory, and cognition.

[18]  Daniel G. Morrow,et al.  Expertise Differences in Attentional Strategies Related to Pilot Decision Making , 2008, Hum. Factors.

[19]  R. Gray Attending to the execution of a complex sensorimotor skill: expertise differences, choking, and slumps. , 2004, Journal of experimental psychology. Applied.

[20]  Michele Groves,et al.  The clinical reasoning characteristics of diagnostic experts , 2003, Medical teacher.

[21]  H. Schmidt,et al.  On acquiring expertise in medicine , 1993 .

[22]  Nadia W. Mullen,et al.  Finding the right case: The role of predictive features in memory for aviation accidents , 2008 .

[23]  Mark S Horswill,et al.  Using fuzzy signal detection theory to determine why experienced and trained drivers respond faster than novices in a hazard perception test. , 2007, Accident; analysis and prevention.

[24]  M. Jones,et al.  Clinical reasoning in manual therapy. , 1992, Physical therapy.

[25]  P H Harasym,et al.  Diagnostic reasoning strategies and diagnostic success , 2003, Medical education.

[26]  Pat Croskerry,et al.  A universal model of diagnostic reasoning. , 2009, Academic medicine : journal of the Association of American Medical Colleges.