The Case Ordering Problem in Surgical Procedural Training through Process Mining

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dc.contributor.authorCornejo Rivas, Felipe Alejandro Eduardo
dc.contributor.authorFazio, C.
dc.contributor.authorMuñoz Gama, Jorge
dc.contributor.authorSepúlveda Fernández, Marcos Ernesto
dc.contributor.authorFuentes Henríquez, Ricardo Sergio
dc.contributor.authorde la Fuente Sanhueza, Rene Francisco
dc.date.accessioned2022-05-13T19:15:20Z
dc.date.available2022-05-13T19:15:20Z
dc.date.issued2019
dc.description.abstractRecently, process perspective has been incorporated into the surgical training. These approaches use Process Mining to provide instructors with procedural reports of each student. However, reviewing those reports in a random order could be unnecessarily tedious: each report could be totally different from the previous one, preventing the instructors of any comparative aid, and forcing them to change their mindset every time. Complementary to other approaches such as clustering or tacit knowledge, we propose an approach to optimize, from a process perspective, the ordering of the students executions, such that the procedural distance between an execution and the next one is the lowest possible. The contribution of this paper is twofold: first, the problem is formalized; second, a method for solving the problem tailored to surgical training is presented. Preliminary results are provided, and the preliminary validity of the approach has been corroborated by a medical expert.
dc.fuente.origenIEEE
dc.identifier.doi10.1109/SCCC49216.2019.8966431
dc.identifier.isbn978-1728156132
dc.identifier.issn1522-4902
dc.identifier.urihttps://doi.org/10.1109/SCCC49216.2019.8966431
dc.identifier.urihttps://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8966431
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/63894
dc.identifier.wosidWOS:000540055800040
dc.information.autorucEscuela de ingeniería ; Cornejo Rivas, Felipe Alejandro Eduardo ; S/ I; 214517
dc.information.autorucEscuela de ingeniería ; Muñoz Gama, Jorge ; S/I ; 1013863
dc.information.autorucEscuela de ingeniería ; Sepúlveda Fernández, Marcos Ernesto ; S/I ; 80415
dc.information.autorucEscuela de medicina ; Fuentes Henríquez, Ricardo Sergio ; S/I ; 91662
dc.information.autorucEscuela de medicina ; de la Fuente Sanhueza, Rene Francisco ; S/I ; 102089
dc.language.isoen
dc.nota.accesoContenido parcial
dc.publisherIEEE
dc.relation.ispartofInternational Conference of the Chilean Computer Science Society (38° : 2019 : Concepción, Chile)
dc.rightsacceso restringido
dc.subjectSurgery
dc.subjectTraining
dc.subjectFeature extraction
dc.subjectCatheters
dc.subjectInstruments
dc.subject.ods04 Quality education
dc.subject.odspa04 Educación de calidad
dc.titleThe Case Ordering Problem in Surgical Procedural Training through Process Mininges_ES
dc.typecomunicación de congreso
sipa.codpersvinculados214517
sipa.codpersvinculados1013863
sipa.codpersvinculados80415
sipa.codpersvinculados91662
sipa.codpersvinculados102089
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