Clinical processes and its data, what can we do with them?

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dc.catalogadordfo
dc.contributor.authorRojas, Eric
dc.contributor.authorArias, Michael
dc.contributor.otherSepúlveda Fernández, Marcos Ernesto
dc.date.accessioned2024-01-08T19:28:06Z
dc.date.available2024-01-08T19:28:06Z
dc.date.issued2015
dc.description.abstractGlobal healthcare services have evolved over time, and nowadays they are expected to follow high-quality optimized standards. Analyzing healthcare processes has become a relevant field of study, and different techniques and tools have been developed to promote improvements in the efficiency and effectiveness of these processes. There is a research field called process mining that can be used to extract knowledge from the event data stored in the hospital information systems. With the help of this, it is possible to discover the real executed process, examine its performance and analyze the resource interaction during its execution. The goal of this article is to provide a bibliographic survey about the use of process mining algorithms, techniques, and tools in the analysis of healthcare processes, providing a general overview about the main approaches previously used and the information required to apply them in the medical field. We provide important insights about data, algorithms, techniques and methodologies that are required to help answer medical expert questions about their processes, motivating and inspiring a broader usage. So, if we have the information and it is possible to analyze and understand the healthcare processes, why are we not doing it?
dc.fechaingreso.objetodigital2024-01-08
dc.fuente.origenConveris
dc.identifier.doi10.5220/0005287206420647
dc.identifier.scopusidSCOPUS_ID:2-s2.0-84938843966
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/75656
dc.information.autorucEscuela de Ingeniería; Rojas, Eric; 0000-0002-2570-1861; 44525
dc.information.autorucEscuela de Ingeniería; Sepúlveda Fernández, Marcos Ernesto; S/I; 80415
dc.language.isoen
dc.nota.accesoContenido completo
dc.pagina.final647
dc.pagina.inicio642
dc.relation.ispartofProceedings of the International Conference on Health Informatics
dc.rightsacceso abierto
dc.subjectProcess Mining
dc.subjectHealthcare Processes
dc.subjectProcess Discovery
dc.subjectHealthcare Data
dc.subjectProcess Mining Methodology
dc.subject.ddc600
dc.subject.deweyTecnologíaes_ES
dc.titleClinical processes and its data, what can we do with them?
dc.typecomunicación de congreso
sipa.codpersvinculados44525
sipa.codpersvinculados80415
sipa.trazabilidadConveris;20-07-2021
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