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Process-Oriented Feedback through Process Mining for Surgical Procedures in Medical Training: The Ultrasound-Guided Central Venous Catheter Placement Case

Author

Listed:
  • Ricardo Lira

    (Department of Computer Science, School of Engineering, Pontificia Universidad Católica de Chile, Santiago 7820436, Chile)

  • Juan Salas-Morales

    (Department of Computer Science, School of Engineering, Pontificia Universidad Católica de Chile, Santiago 7820436, Chile)

  • Luis Leiva

    (Department of Computer Science, School of Engineering, Pontificia Universidad Católica de Chile, Santiago 7820436, Chile)

  • Rene de la Fuente

    (Department of Anesthesiology, School of Medicine, Pontificia Universidad Católica de Chile, Santiago 8331150, Chile)

  • Ricardo Fuentes

    (Department of Anesthesiology, School of Medicine, Pontificia Universidad Católica de Chile, Santiago 8331150, Chile)

  • Alejandro Delfino

    (Department of Anesthesiology, School of Medicine, Pontificia Universidad Católica de Chile, Santiago 8331150, Chile)

  • Claudia Hurtado Nazal

    (Department of Anesthesiology, School of Medicine, Pontificia Universidad Católica de Chile, Santiago 8331150, Chile)

  • Marcos Sepúlveda

    (Department of Computer Science, School of Engineering, Pontificia Universidad Católica de Chile, Santiago 7820436, Chile)

  • Michael Arias

    (Department of Business Computer Science, Universidad de Costa Rica, San Ramón 111-4250, Costa Rica)

  • Valeria Herskovic

    (Department of Computer Science, School of Engineering, Pontificia Universidad Católica de Chile, Santiago 7820436, Chile)

  • Jorge Munoz-Gama

    (Department of Computer Science, School of Engineering, Pontificia Universidad Católica de Chile, Santiago 7820436, Chile)

Abstract

Developing high levels of competence in the execution of surgical procedures through training is a key factor for obtaining good clinical results in healthcare. To improve the effectiveness of the training, it is advisable to provide feedback to each student tailored to how the student has performed the procedure on each occasion. Current state-of-the-art feedback is based on Checklists and Global Rating Scales, which indicate whether all process steps have been carried out and the quality of each execution step. However, there is a process perspective that is not captured successfully by these instruments, e.g., steps performed, but in an undesired order, group of activities that are repeated an unnecessary number of times, or an excessive transition time between two consecutive steps. In this research, we propose a novel use of process mining techniques to effectively identify desired and undesired process patterns regarding rework, the order in which activities are performed, and time performance, in order to complement the tailored feedback for surgical procedures using a process perspective. The proposed approach was applied to analyze a real case of ultrasound-guided Central Venous Catheter placement training. It was quantitatively and qualitatively validated that the students who participated in the training program perceived the process-oriented feedback they received as favorable for their learning.

Suggested Citation

  • Ricardo Lira & Juan Salas-Morales & Luis Leiva & Rene de la Fuente & Ricardo Fuentes & Alejandro Delfino & Claudia Hurtado Nazal & Marcos Sepúlveda & Michael Arias & Valeria Herskovic & Jorge Munoz-Ga, 2019. "Process-Oriented Feedback through Process Mining for Surgical Procedures in Medical Training: The Ultrasound-Guided Central Venous Catheter Placement Case," IJERPH, MDPI, vol. 16(11), pages 1-21, May.
  • Handle: RePEc:gam:jijerp:v:16:y:2019:i:11:p:1877-:d:234877
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    Citations

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    Cited by:

    1. Victor Galvez & Rene de la Fuente & Cesar Meneses & Luis Leiva & Gonzalo Fagalde & Valeria Herskovic & Ricardo Fuentes & Jorge Munoz-Gama & Marcos Sepúlveda, 2020. "Process-Oriented Instrument and Taxonomy for Teaching Surgical Procedures in Medical Training: The Ultrasound-Guided Insertion of Central Venous Catheter," IJERPH, MDPI, vol. 17(11), pages 1-15, May.
    2. Michael Arias & Eric Rojas & Santiago Aguirre & Felipe Cornejo & Jorge Munoz-Gama & Marcos Sepúlveda & Daniel Capurro, 2020. "Mapping the Patient’s Journey in Healthcare through Process Mining," IJERPH, MDPI, vol. 17(18), pages 1-16, September.

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