Advertisement

Understanding Undesired Procedural Behavior in Surgical Training: The Instructor Perspective

  • Victor GalvezEmail author
  • Cesar Meneses
  • Gonzalo Fagalde
  • Jorge Munoz-Gama
  • Marcos Sepúlveda
  • Ricardo Fuentes
  • Rene de la Fuente
Conference paper
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 362)

Abstract

In recent years, a new approach to incorporate the process perspective in the surgical procedural training through Process Mining has been proposed. In this approach, training executions are recorded, to later generate end-to-end process models for the students, describing their execution. Although those end-to-end models are useful for the students, they do not fully capture the needs of the instructors of the training programs. This article proposes a taxonomy of activities for surgical process models, analyzes the specific questions instructors have about the student execution and their undesired procedural behavior, and proposes the Procedural Behavior Instrument, an instrument to answer them in an easy-to-interpret way. A real case was used to test the approach, and a preliminary validity was developed by a medical expert.

Keywords

Undesired procedural behavior Process perspective Healthcare Medical training Surgical procedures Surgical process models 

Notes

Acknowledgments

This work is partially supported by CONICYT FONDECYT 11170092, CONICYT REDI 170136, VRI-UC INTERDISCIPLINA II170003, and FOND-DCC 2017-0001. CONICYT-PFCHA/Doctorado Nacional/2019-21190116.

References

  1. 1.
    van der Aalst, W.M.P.: Process Mining - Data Science in Action. Springer, Heidelberg (2016).  https://doi.org/10.1007/978-3-662-49851-4CrossRefGoogle Scholar
  2. 2.
    Corvetto, M.A., Pedemonte, J.C., Varas, D., Fuentes, C., Altermatt, F.R.: Simulation-based training program with deliberate practice for ultrasound-guided jugular central venous catheter placement. Acta Anaesthesiol. Scand. 61, 1184–1191 (2017)CrossRefGoogle Scholar
  3. 3.
    Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quart. 319–340 (1989)Google Scholar
  4. 4.
    Fernández-Llatas, C., Meneu, T., Traver, V., Benedi, J.: Applying evidence-based medicine in telehealth: an interactive pattern recognition approximation. Med. J. Islamic Repub. Iran (MJIRI) 10, 32–45 (2018) Google Scholar
  5. 5.
    de la Fuente, R.: Entrenamiento en Destrezas Procedurales: Oportunidades desde el análisis de Minería de Procesos. Master’s thesis, School of Engineering, Pontificia Universidad Católica de Chile (2018)Google Scholar
  6. 6.
    Ilgen, J.S., Ma, I.W., Hatala, R., Cook, D.A.: A systematic review of validity evidence for checklists versus global rating scales in simulation-based assessment. Med. Educ. 49(2), 161–173 (2015)CrossRefGoogle Scholar
  7. 7.
    Khanghahi, M.E., Azar, F.E.F.: Direct observation of procedural skills (dops) evaluation method: Systematic review of evidence. Med. J. Islamic Repub. Iran (MJIRI) 32–45 (2018)Google Scholar
  8. 8.
    Lalys, F., Jannin, P.: Surgical process modelling: a review. Int. J. Comput. Assist. Radiol. Surg. 9(3), 495–511 (2014)CrossRefGoogle Scholar
  9. 9.
    Lira, R., et al.: Process-oriented feedback through process mining for surgical procedures in medical training: The ultrasound-guided central venous catheter placement case. Int. J. Environ. Res. Publ. Health 16(11) (2019).  https://doi.org/10.3390/ijerph16111877, https://www.mdpi.com/1660-4601/16/11/1877
  10. 10.
    Munoz-Gama, J., de la Fuente, R., Sepúlveda, M., Fuentes, R.: Conformance checking challenge 2019 (2019). https://doi.org/10.4121/uuid:c923af09-ce93-44c3-ace0-c5508cf103ad
  11. 11.
    Rojas, E., Sepúlveda, M., Munoz-Gama, J., Capurro, D., Traver, V., Fernandez-Llatas, C.: Question-driven methodology for analyzing emergency room processes using process mining. Appl. Sci. 7(3), 302 (2017)CrossRefGoogle Scholar
  12. 12.
    Wieringa, R.J.: Design Science Methodology for Information Systems and Software Engineering. Springer, Heidelberg (2014).  https://doi.org/10.1007/978-3-662-43839-8CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Victor Galvez
    • 1
    Email author
  • Cesar Meneses
    • 1
  • Gonzalo Fagalde
    • 1
    • 3
  • Jorge Munoz-Gama
    • 1
  • Marcos Sepúlveda
    • 1
  • Ricardo Fuentes
    • 2
  • Rene de la Fuente
    • 2
  1. 1.Department of Computer Science, School of EngineeringPontificia Universidad Católica de ChileSantiagoChile
  2. 2.Department of Anesthesiology, School of MedicinePontificia Universidad Católica de ChileSantiagoChile
  3. 3.Department of Engineering SciencesUniversidad Andres BelloSantiagoChile

Personalised recommendations