Literature DB >> 7873008

Anatomy of the clinical simulation.

C P Friedman1.   

Abstract

Computer-based clinical simulations have been used in medical education for the past 25 years. During this period, the technology has evolved from mainframe computers to microcomputers to multimedia. All designers of simulations must decide which elements of reality to include explicitly in a simulated case, which to leave to the user's imagination, and when to intervene for educational purposes. Once these decisions are made, developers of simulations have many options for structuring the simulation itself. They can develop simulations with single or multiple patient encounters, with menu or natural-language requests for data, with varying levels of volunteered information about the simulated patient, with interpreted or uninterpreted clinical findings, with deterministic or probablistic evolution of the case, with various ways to give users feedback about their progress through the case, and with manual or automated creation of specific cases. Simulations derive their specific character from how these options are implemented.

Entities:  

Mesh:

Year:  1995        PMID: 7873008     DOI: 10.1097/00001888-199503000-00011

Source DB:  PubMed          Journal:  Acad Med        ISSN: 1040-2446            Impact factor:   6.893


  8 in total

1.  Restricted natural language processing for case simulation tools.

Authors:  C U Lehmann; B Nguyen; G R Kim; K B Johnson; H P Lehmann
Journal:  Proc AMIA Symp       Date:  1999

2.  Exploring the boundaries of plausibility: empirical study of a key problem in the design of computer-based clinical simulations.

Authors:  Charles P Friedman; Guido G Gatti; Gwendolyn C Murphy; Timothy M Franz; Paul L Fine; Paul S Heckerling; Thomas M Miller
Journal:  Proc AMIA Symp       Date:  2002

3.  Twenty-four hour access to a CD-ROM surgical database has educational and patient management benefits.

Authors:  C J Williams; K J O'Flynn; N A Scott
Journal:  Ann R Coll Surg Engl       Date:  1998-09       Impact factor: 1.891

4.  The integration of a novice user interface into a professional modeling tool.

Authors:  S Ramakrishnan; C E Hmelo; R S Day; W E Shirey; Q Huang
Journal:  Proc AMIA Symp       Date:  1998

5.  Strategies for integrating computer-based activities into your educational environment: a practical guide.

Authors:  J G Miller; F M Wolf
Journal:  J Am Med Inform Assoc       Date:  1996 Mar-Apr       Impact factor: 4.497

6.  Cognitive processing differences of experts and novices when correlating anatomy and cross-sectional imaging.

Authors:  Lonie R Salkowski; Rosemary Russ
Journal:  J Med Imaging (Bellingham)       Date:  2018-05-18

7.  Effectiveness of a computer assisted learning (CAL) package to raise awareness of autism.

Authors:  Jariya Chuthapisith; Benedict diMambro; Gillian Doody
Journal:  BMC Med Educ       Date:  2009-02-26       Impact factor: 2.463

8.  A web-based simulation of a longitudinal clinic used in a 4-week ambulatory rotation: a cohort study.

Authors:  Rene W G Wong; Heather A Lochnan
Journal:  BMC Med Educ       Date:  2009-02-02       Impact factor: 2.463

  8 in total

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