Literature DB >> 19634310

Decision making during preoperative surgical planning.

Thierry Morineau1, Xavier Morandi, Nadège Le Moëllic, Sylma Diabira, Laurent Riffaud, Claire Haegelen, Pierre-Louis Hénaux, Pierre Jannin.   

Abstract

OBJECTIVE: This study analyzes decision making during preoperative surgical planning through two cognitive indicators: conflict and cognitive control.
BACKGROUND: Planning is a critical stage in naturalistic decision making, and there is some evidence suggesting that this activity depends on the level of expertise and the demands of the task. The specificity of surgery resides in the necessity to cope with (potential) conflicts between the purpose of the surgical intervention and the biological laws governing the patient's body.
METHOD: Six neurosurgeons (two board-certified neurosurgeons, two chief residents, and two residents) described the operative procedure envisaged on nine surgical cases of increasing surgical complexity. A detailed analysis of one surgical case described by one expert was performed. Moreover, we measured the number of conflicts and controls reported by each surgeon.
RESULTS: Two experts were the only ones for which the report of conflicts increased with surgical complexity (respectively, 75% and 73% of the conflict variance predicted by complexity). The two experts significantly activated a higher proportion of knowledge-based control (respectively, 43% and 38%) than did intermediates and residents. The residents significantly activated more motor skill-based controls (respectively, 40% and 44%) than did intermediates and experts.
CONCLUSION: It seems that expert surgical decision making to cope with task demands is significantly associated with conflict monitoring. Knowledge-based control to regulate conflict is mainly produced by experts. APPLICATION: Conflicts and controls analyzed through verbal reports can be used as relevant indicators to highlight critical moments in decision making that potentially require assistance from information systems.

Entities:  

Mesh:

Year:  2009        PMID: 19634310     DOI: 10.1177/0018720809332847

Source DB:  PubMed          Journal:  Hum Factors        ISSN: 0018-7208            Impact factor:   2.888


  7 in total

Review 1.  Surgical process modelling: a review.

Authors:  Florent Lalys; Pierre Jannin
Journal:  Int J Comput Assist Radiol Surg       Date:  2013-09-08       Impact factor: 2.924

2.  Toward a standard ontology of surgical process models.

Authors:  Bernard Gibaud; Germain Forestier; Carolin Feldmann; Giancarlo Ferrigno; Paulo Gonçalves; Tamás Haidegger; Chantal Julliard; Darko Katić; Hannes Kenngott; Lena Maier-Hein; Keno März; Elena de Momi; Dénes Ákos Nagy; Hirenkumar Nakawala; Juliane Neumann; Thomas Neumuth; Javier Rojas Balderrama; Stefanie Speidel; Martin Wagner; Pierre Jannin
Journal:  Int J Comput Assist Radiol Surg       Date:  2018-07-13       Impact factor: 2.924

3.  A cognitive engineering framework for the specification of information requirements in medical imaging: application in image-guided neurosurgery.

Authors:  T Morineau; X Morandi; N Le Moëllic; P Jannin
Journal:  Int J Comput Assist Radiol Surg       Date:  2012-07-13       Impact factor: 2.924

4.  "Stand-up straight!": human pose estimation to evaluate postural skills during orthopedic surgery simulations.

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Journal:  Int J Comput Assist Radiol Surg       Date:  2022-10-05       Impact factor: 3.421

5.  Commentary: Accessing 3D Printed Vascular Phantoms for Procedural Simulation.

Authors:  Som P Singh; Fahad M Qureshi; Farhan Baig
Journal:  Front Surg       Date:  2022-06-17

6.  Virtual Reality for Surgical Planning - Evaluation Based on Two Liver Tumor Resections.

Authors:  Anke V Reinschluessel; Thomas Muender; Daniela Salzmann; Tanja Döring; Rainer Malaka; Dirk Weyhe
Journal:  Front Surg       Date:  2022-02-28

7.  Building shared situational awareness in surgery through distributed dialog.

Authors:  Brigid M Gillespie; Karleen Gwinner; Nicole Fairweather; Wendy Chaboyer
Journal:  J Multidiscip Healthc       Date:  2013-03-20
  7 in total

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