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How dungeons & dragons made us better VPS: randomizing physiological data to rapidly produce 97 clinically realistic VPS

Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Creating multiple clinically realistic virtual patients (VPs) is a daunting, time-consuming process whereby time saved with a basic template still requires the end-user to populate physical exam, laboratory investigations and physiological data specifically to the nuances of each case. Within the gaming domain, it is common to populate multiple characters within a game by randomizing a range of values or characteristics (e.g. eye colour, height, weapons). Transferred to the clinical context, the ability to randomize all laboratory and other investigation results to default within the range of accepted physiological parameters for each finding allowed the University of Calgary to rapidly create ninety-seven VPs with clinically appropriate alphanumeric normal values. Using spreadsheet and database software, randomization was achieved by establishing the range of normal laboratory results. In addition, patient background, such as marital status, occupation, and so forth were also generated for each VP. These data-populated VPs were then imported into Open Labyrinth, where Subject Matter Expert time was condensed to providing abnormal findings to fit the context of the clinical presentation and desired diagnosis. The combination of common office productivity software and an open source VP platform allows others to leverage the same process for local curricular VP-based programs. This technique also optimizes programmer, instructional designer and subject matter expert time commitments to the project.
Słowa kluczowe
Rocznik
Strony
41--45
Opis fizyczny
Bibliogr. 14 poz., rys., tab.
Twórcy
autor
  • Undergraduate Medical Education, Faculty of Medicine, University of Calgary – Calgary, Canada
autor
  • Undergraduate Medical Education, Faculty of Medicine, University of Calgary – Calgary, Canada
  • Undergraduate Medical Education, Faculty of Medicine, University of Calgary – Calgary, Canada
autor
  • Undergraduate Medical Education, Faculty of Medicine, University of Calgary – Calgary, Canada
Bibliografia
  • 1. Balasubramaniam, C., Poulton, T., & Huwendiek, S. (2009). Repurposing existing virtual patients: An anglo-german study. Bio-Algorithms and Med. Sys. 5(9), 91-98.
  • 2. Cook, D. A. (2005). The research we still are not doing: An agenda for the study of computer-based learning. Acad.Med., 80(6), 541-548.
  • 3. Cook, D. A., & Triola, M. (2009). Virtual patients: A critical literature review and proposed next steps. Medical Education, 43(4), 303-311.
  • 4. Frey, C., Hege, I., Hinske, P., & Fischer, M. R. (2009). Repurposing virtual patients within the electronic virtual patient (eViP) project. Bio-Algorithms and Med. Sys., 9. Retrieved from: http://www.bams.cmuj.krakow.pl/index.php?option=com_content&task=view&id=180&Itemid=63
  • 5. Grant, V. (2009). Physical exam guide. Unpublished manuscript.
  • 6. Hanebeck, B., Tonshoff, B., & Huwendiek, S. (2009). Repurposing virtual patients for clinical reasoning: Development of a guideline and assessment of time and effort. Bio-Algorithms and Med. Sys., 9. Retrieved from http://www.bams.cmuj.krakow.pl/index.php?option=com_content&task=view&id=176&Itemid=63
  • 7. Higgs, J., & Jones, M. A. (2008). Clinical decision making and multiple problem spaces. In J. Higgs, M. A. Jones, S. Loftus & N. Christensen (Eds.), Clinical reasoning in the health professions (3rd ed., pp. 3-17). New York: Elsevier.
  • 8. Huang, G., Reynolds, R., & Chandler, C. L. (2007). Virtual patient simulation at U.S. and canadian medical schools. Academic Medicine, 82(5), 446-451.
  • 9. Klein, G. (1999). Sources of power: How people make decisions. Boston, MA: MIT Press.
  • 10. Norman, G. R. (2005). Research in clinical reasoning: Past history and current trends. Med. Educ., 39, 418-427.
  • 11. Norman, G. R. (2006). Building on experience — the development of clinical reasoning. N.Engl.J.Med., 355(21), 2251-2252.
  • 12. Pound, C. (2010). Chris pound's language machines. Retrieved January 23, 2010, from http://www.ruf.rice.edu/~pound/
  • 13. Schwartz, A., & Elstein, A. S. (2008). Clinical reasoning in medicine. In J. Higgs, M. A. Jones, S. Loftus & N. Christensen (Eds.), Clinical reasoning in the health professions (3rd ed., pp. 223-234). New York: Elsevier.
  • 14. Wizards RPG Team. (2008). Dungeon master's guide (4th ed.) Wizards of the Coast.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-0c8f1c8c-9387-46b7-9f89-30f465b7001e
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