Advertisement

Proficiency-Based Progression Simulation Training: A To-Do List for Medicine

  • Anthony G. Gallagher
  • Gerald C. O’Sullivan
  • Gerald C. O’Sullivan
Chapter
Part of the Improving Medical Outcome - Zero Tolerance book series (IMOZT)

Abstract

Change has been the order of the day in medicine, but particularly in disciplines such as surgery. Surgery has changed the way it treats patients with interventions becoming less invasive but also becoming more difficult to learn and to practice. Sometimes these changes were patient driven. One of these changes, minimally invasive surgery (MIS) was introduced on a wave of enthusiasm in the early 1990s (Centres 1991). It was a disruptive technology and had unforeseen and wide-reaching implications and ramifications for the entire practice of medicine.

Keywords

Virtual Reality Minimally Invasive Surgery Surgical Trainee Virtual Reality Simulation Deliberate Practice 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. Ahlberg G, Enochsson L, Gallagher AG, et al. Proficiency-based virtual reality training significantly reduces the error rate for residents during their first 10 laparoscopic cholecystectomies. Am J Surg. 2007;193(6):797-804.PubMedCrossRefGoogle Scholar
  2. Bann S, Kwok KF, Lo CY, Darzi A, Wong J. Objective assessment of technical skills of surgical trainees in Hong Kong. Br J Surg. 2003;90(10):1294-1299.PubMedCrossRefGoogle Scholar
  3. Beall DP. The ACGME institutional requirements: what residents need to know. J Am Med Assoc. 1999;281(24):2352.CrossRefGoogle Scholar
  4. Bower JL, Christensen CM. Disruptive technologies: catching the wave. Harv Bus Rev. 1995;73:43-53.Google Scholar
  5. Centres R. Cholecystectomy practice transformed. Lancet. 1991;338(8770):789-790.Google Scholar
  6. Dawson S. Procedural simulation: a primer1. Radiology. 2006;241(1):17.PubMedCrossRefGoogle Scholar
  7. Dreyfus HL, Dreyfus SE, Athanasiou T. Mind Over Machine. New York: Free Press; 1986.Google Scholar
  8. Ericsson KA, Krampe RT, Tesch-Römer C. The role of deliberate practice in the acquisition of expert performance. Psychol Rev. 1993;100(3):363-406.CrossRefGoogle Scholar
  9. Gallagher AG, Cates CU. Approval of virtual reality training for carotid stenting: what this means for procedural-based medicine. J Am Med Assoc. 2004a;292(24):3024-3026.CrossRefGoogle Scholar
  10. Gallagher AG, Cates CU. Virtual reality training for the operating room and cardiac catheterisation laboratory. Lancet. 2004b;364(9444):1538-1540.PubMedCrossRefGoogle Scholar
  11. Gallagher AG, Cowie R, Crothers I, Jordan-Black JA, Satava RM. PicSOr: an objective test of perceptual skill that predicts laparoscopic technical skill in three initial studies of laparoscopic performance. Surg Endosc. 2003a;17(9):1468-1471.PubMedCrossRefGoogle Scholar
  12. Gallagher AG, Ritter EM, Satava RM. Fundamental principles of validation, and reliability: rigorous science for the assessment of surgical education and training. Surg Endosc. 2003b;17(10):1525-1529.PubMedCrossRefGoogle Scholar
  13. Gallagher AG, Smith CD, Bowers SP, et al. Psychomotor skills assessment in practicing surgeons experienced in performing advanced laparoscopic procedures. J Am Coll Surg. 2003c;197(3):479-488.PubMedCrossRefGoogle Scholar
  14. General Medical Council. Tomorrow’s Doctors: Recommendations on Undergraduate Medical Education. London: GMC; 1993.Google Scholar
  15. Haluck RS, Satava RM, Fried G, et al. Establishing a simulation center for surgical skills: what to do and how to do it. Surg Endosc. 2007;21(7):1223-1232.PubMedCrossRefGoogle Scholar
  16. Kazdin AE. Behavior Modification in Applied Settings. Pacific Grove: Brooks/Cole Publishing Co.; 1994.Google Scholar
  17. Khan M, Bann S, Darzi A, Butler P. Assessing surgical skill using bench station models. Plast Reconstr Surg. 2007;120(3):793-800.PubMedCrossRefGoogle Scholar
  18. Kohn LT, Corrigan JM, Donaldson MS. To Err Is Human: Building a Safer Health System. Washington DC: National Academy Press; 2000:196-197.Google Scholar
  19. Larsen CR, Grantcharov T, Aggarwal R, et al. Objective assessment of gynecologic laparoscopic skills using the LapSimGyn virtual reality simulator. Surg Endosc. 2006;20(9):1460-1466.PubMedCrossRefGoogle Scholar
  20. Martin P, Martin PR, Bateson P. Measuring Behaviour: An Introductory Guide. Cambridge: Cambridge University Press; 1993.CrossRefGoogle Scholar
  21. Martin JA, Regehr G, Reznick R, et al. Objective structured assessment of technical skill (OSATS) for surgical residents. Br J Surg. 1997;84(2):273-278.PubMedCrossRefGoogle Scholar
  22. Mayo WJ. Medical education for the general practitioner. Journal of the American Medical Association, 1927;88(18):1377-1378.PubMedGoogle Scholar
  23. McGaghie WC, Sajid AW, Miller GE, Telder TV, Lipson L. Competency-based curriculum development in medical education: an introduction; Competency-based curriculum development in medical education: an introduction: Geneva: World Health Organization 1978.PubMedGoogle Scholar
  24. Popper KR. Objective Knowledge: An Evolutionary Approach. Oxford: Clarendon Press; 1979.Google Scholar
  25. Reason J. Human error: models and management. Br Med J. 2000;320(7237):768.CrossRefGoogle Scholar
  26. Regenbogen SE, Greenberg CC, Studdert DM, Lipsitz SR, Zinner MJ, Gawande AA. Patterns of technical error among surgical malpractice claims: an analysis of strategies to prevent injury to surgical patients. Ann Surg. 2007;246(5):705.PubMedCrossRefGoogle Scholar
  27. Senate of Surgery. Response to the General Medical Council Determination on the Bristol Case: Senate Paper 5. London: The Senate of Surgery of Great Britain and Ireland; 1998.Google Scholar
  28. Seymour NE, Gallagher AG, Roman SA, et al. Virtual reality training improves operating room performance: results of a randomized, double-blinded study. Ann Surg. 2002;236(4):458-463; discussion 463-454.PubMedCrossRefGoogle Scholar
  29. Somville F, van Sprundel M, Somville J. Analysis of surgical errors in malpractice claims in Belgium. Acta Chir Belg. 2010;110(1):11-18.PubMedGoogle Scholar
  30. Swets JA. Signal Detection Theory and ROC Analysis in Psychology and Diagnostics: Collected Papers. Mahwah: Lawrence Erlbaum Associates; 1996.Google Scholar
  31. Van Sickle K, Baghai M, Huang IP, Goldenberg A, Smith CD, Ritter EM. Construct validity of an objective assessment method for laparoscopic intracorporeal suturing and knot tying. Am J Surg. 2008a;196(1):74-80.PubMedCrossRefGoogle Scholar
  32. Van Sickle K, Ritter EM, Baghai M, et al. Prospective, randomized, double-blind trial of curriculum-based training for intracorporeal suturing and knot tying. J Am Coll Surg. 2008b;207(4):560-568.PubMedCrossRefGoogle Scholar

Copyright information

© Springer-Verlag London Limited 2011

Authors and Affiliations

  • Anthony G. Gallagher
    • 1
  • Gerald C. O’Sullivan
    • 2
  • Gerald C. O’Sullivan
    • 3
  1. 1.School of MedicineUniversity College CorkCorkIreland
  2. 2.Mercy University HospitalCorkIreland
  3. 3.Cork Cancer Research CentreUniversity College CorkCorkIreland

Personalised recommendations