Literature DB >> 2182962

Domain knowledge and hypothesis generation in diagnostic reasoning.

G M Joseph1, V L Patel.   

Abstract

The role of domain knowledge in the process of hypothesis generation during diagnostic reasoning was examined. Subjects were given a clinical case presented one segment at a time on a microcomputer. They were prompted to think aloud after presentation of each segment of the clinical case. A combination of discourse and protocol analysis techniques was used to investigate the problem solving process in two groups of experts working on an endocrine problem. The groups consisted of high-domain-knowledge subjects (HDK), endocrinologists, and low-domain-knowledge subjects (LDK), cardiologists. The results showed no significant differences between the groups in terms of selection of relevant and critical cues from the case. However, specific differences were found in the links or relations between the cues, with the HDK subjects using more relations to connect important information. The HDK subjects generated accurate diagnostic hypotheses early in the problem encounter and spent the rest of the time confirming the hypotheses by explaining the given cues. The LDK subjects also generated accurate diagnostic hypotheses but were unable to discriminate between and eliminate alternative hypotheses. A two-stage problem solving process and its relationship to domain specific knowledge are proposed.

Mesh:

Year:  1990        PMID: 2182962     DOI: 10.1177/0272989X9001000107

Source DB:  PubMed          Journal:  Med Decis Making        ISSN: 0272-989X            Impact factor:   2.583


  22 in total

Review 1.  A primer on aspects of cognition for medical informatics.

Authors:  V L Patel; J F Arocha; D R Kaufman
Journal:  J Am Med Inform Assoc       Date:  2001 Jul-Aug       Impact factor: 4.497

2.  Can Think Aloud Be Used to Teach and Assess Clinical Reasoning in Graduate Medical Education?

Authors:  Ralph Pinnock; Louise Young; Fiona Spence; Marcus Henning; Wayne Hazell
Journal:  J Grad Med Educ       Date:  2015-09

3.  Medical knowledge for clinical problem solving: a structural analysis of clinical questions.

Authors:  V Florance
Journal:  Bull Med Libr Assoc       Date:  1992-04

4.  Use of verbal protocol analysis for identification of ADE signals.

Authors:  S Phansalkar; Vimla L Patel; J M Hoffman; J F Hurdle
Journal:  AMIA Annu Symp Proc       Date:  2006

5.  Medical problem attributes and information-seeking questions.

Authors:  P Z Stavri
Journal:  Bull Med Libr Assoc       Date:  1996-07

Review 6.  Medical diagnostic decision support systems--past, present, and future: a threaded bibliography and brief commentary.

Authors:  R A Miller
Journal:  J Am Med Inform Assoc       Date:  1994 Jan-Feb       Impact factor: 4.497

7.  Conceptual change and computer-assisted instruction.

Authors:  M Pradham; P Dev
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1993

8.  [Modelling critical information measurement traumatic surgery decisions. "Sequential Information Appraisal Module (SIAM)"].

Authors:  D Stengel; J Seifert; F Braatz; J Beneker; A Ekkernkamp; G Matthes
Journal:  Unfallchirurg       Date:  2005-07       Impact factor: 1.000

9.  Findings from an evaluation of PlanAlyzer's double cross-over trials of computer-based, self-paced, case-based programs in anemia and chest pain diagnosis.

Authors:  H C Lyon; J C Healy; J R Bell; J F O'Donnell; E K Shultz; R S Wigton; F Hirai; J R Beck
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1991

10.  Significant efficiency findings while controlling for the frequent confounders of CAI research in the PlanAlyzer project's computer-based, self-paced, case-based programs in anemia and chest pain diagnosis.

Authors:  H C Lyon; J C Healy; J R Bell; J F O'Donnell; E K Shultz; R S Wigton; F Hirai; J R Beck
Journal:  J Med Syst       Date:  1991-04       Impact factor: 4.460

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