Literature DB >> 24084306

Application of national testing standards to simulation-based assessments of clinical palpation skills.

Carla M Pugh1.   

Abstract

With the advent of simulation technology, several types of data acquisition methods have been used to capture hands-on clinical performance. Motion sensors, pressure sensors, and tool-tip interaction software are a few of the broad categories of approaches that have been used in simulation-based assessments. The purpose of this article is to present a focused review of 3 sensor-enabled simulations that are currently being used for patient-centered assessments of clinical palpation skills. The first part of this article provides a review of technology components, capabilities, and metrics. The second part provides a detailed discussion regarding validity evidence and implications using the Standards for Educational and Psychological Testing as an organizational and evaluative framework. Special considerations are given to content domain and creation of clinical scenarios from a developer's perspective. The broader relationship of this work to the science of touch is also considered. Reprint &
Copyright © 2013 Association of Military Surgeons of the U.S.

Entities:  

Mesh:

Year:  2013        PMID: 24084306      PMCID: PMC4120121          DOI: 10.7205/MILMED-D-13-00215

Source DB:  PubMed          Journal:  Mil Med        ISSN: 0026-4075            Impact factor:   1.437


  25 in total

1.  The use of electromagnetic motion tracking analysis to objectively measure open surgical skill in the laboratory-based model.

Authors:  V Datta; S Mackay; M Mandalia; A Darzi
Journal:  J Am Coll Surg       Date:  2001-11       Impact factor: 6.113

2.  Use of a mechanical simulator to assess pelvic examination skills.

Authors:  C M Pugh; W L Heinrichs; P Dev; S Srivastava; T M Krummel
Journal:  JAMA       Date:  2001-09-05       Impact factor: 56.272

3.  Objective laparoscopic skills assessments of surgical residents using Hidden Markov Models based on haptic information and tool/tissue interactions.

Authors:  J Rosen; M Solazzo; B Hannaford; M Sinanan
Journal:  Stud Health Technol Inform       Date:  2001

4.  Augmented reality haptic (ARH): an approach of electromagnetic tracking in minimally invasive surgery.

Authors:  J B Pagador; L F Sánchez; J A Sánchez; P Bustos; J Moreno; F M Sánchez-Margallo
Journal:  Int J Comput Assist Radiol Surg       Date:  2010-07-02       Impact factor: 2.924

5.  Development and evaluation of a low-cost sensor glove for assessment of human finger movements in neurophysiological settings.

Authors:  Reinhard Gentner; Joseph Classen
Journal:  J Neurosci Methods       Date:  2008-11-13       Impact factor: 2.390

6.  Lost in translation: unfolding medical students' misconceptions of how to perform a clinical digital rectal examination.

Authors:  Rishi Balkissoon; Katherine Blossfield; Lawrence Salud; Debra Ford; Carla Pugh
Journal:  Am J Surg       Date:  2009-04       Impact factor: 2.565

7.  Use of sensor technology to explore the science of touch.

Authors:  Lawrence H Salud; Carla M Pugh
Journal:  Stud Health Technol Inform       Date:  2011

8.  Hand movements: a window into haptic object recognition.

Authors:  S J Lederman; R L Klatzky
Journal:  Cogn Psychol       Date:  1987-07       Impact factor: 3.468

9.  Markov modeling of minimally invasive surgery based on tool/tissue interaction and force/torque signatures for evaluating surgical skills.

Authors:  J Rosen; B Hannaford; C G Richards; M N Sinanan
Journal:  IEEE Trans Biomed Eng       Date:  2001-05       Impact factor: 4.538

10.  Clinical examination simulation: getting to real.

Authors:  Lawrence H Salud; Chiagozie I Ononye; Calvin Kwan; Jonathan C Salud; Carla M Pugh
Journal:  Stud Health Technol Inform       Date:  2012
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  1 in total

1.  Modeling Surgical Technical Skill Using Expert Assessment for Automated Computer Rating.

Authors:  David P Azari; Lane L Frasier; Sudha R Pavuluri Quamme; Caprice C Greenberg; Carla M Pugh; Jacob A Greenberg; Robert G Radwin
Journal:  Ann Surg       Date:  2019-03       Impact factor: 12.969

  1 in total

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