Artificial Intelligence in Medicine
Volume 38, Issue 1 , Pages 67-78, September 2006

Web-based adaptive training simulator system for cardiac life support

  • Cristóbal Romero

      Affiliations

    • Department of Computer Sciences, University of Cordoba, 14071 Campus de Rabanales, Cordoba, Spain
    • Corresponding Author InformationCorresponding author. Tel.: +34 957 218630; fax. +34 957 218630.
  • ,
  • Sebastián Ventura

      Affiliations

    • Department of Computer Sciences, University of Cordoba, 14071 Campus de Rabanales, Cordoba, Spain
  • ,
  • Eva L. Gibaja

      Affiliations

    • Department of Computer Sciences, University of Cordoba, 14071 Campus de Rabanales, Cordoba, Spain
  • ,
  • Cesar Hervás

      Affiliations

    • Department of Computer Sciences, University of Cordoba, 14071 Campus de Rabanales, Cordoba, Spain
  • ,
  • Francisco Romero

      Affiliations

    • Public Company of Health Emergencies (EPES) 061, 23002 Hospital Dr. Sagaz, Jaen, Spain

Received 15 February 2005; received in revised form 25 January 2006; accepted 26 January 2006.

Summary 

Objective

We introduce a web-based adaptive training simulator system to exercise cardiopulmonary resuscitation skills. Our purpose is to provide emergency physicians with an additional training tool for cardiac life support clinical cases, by integrating an adaptive learning environment with a web-based case simulator.

Methods and materials

Adaptive systems reflect some features of the user in the user model and apply this model to adapt various visible aspects of the system to the user. Our system follows a stage-based learning model with several steps to personalize student learning. First, students learn the theory and content of life support and take computerized tests to evaluate their declarative knowledge of these areas. Second, they practice with clinical case examples and complete an exam at the appropriate level of difficulty to assess their practical knowledge. Finally, they train with additional clinical cases.

Results and conclusion

In order to evaluate the usefulness of the system, we used it in two traditional advanced life support courses at the Jaen Hospital in Spain, as an additional and complementary tool within the course. Results show that the use of adaptation techniques can improve student performance.

Keywords: Emergency medicine, Patient simulation, Web-based education, Adaptive intelligent systems

To access this article, please choose from the options below

Login to an existing account or Register a new account.

  • Purchase this article for 31.50 USD (You must login/register to purchase this article)

    Online access for 24 hours. The PDF version can be downloaded as your permanent record.

  • Subscribe to this title

    Get unlimited online access to this article and all other articles in this title 24/7 for one year.

  • Claim access now

    For current subscribers with Society Membership or Account Number.

  • Visit SciVerse ScienceDirect to see if you have access via your institution.
 

PII: S0933-3657(06)00018-2

doi:10.1016/j.artmed.2006.01.002

Artificial Intelligence in Medicine
Volume 38, Issue 1 , Pages 67-78, September 2006