Evaluation Method of Variables and Indicators for Surgery Block Process Using Process Mining and Data Visualization
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Fecha de publicación
2021-01-01Palabras clave
Data visualizationHealthcare
Medical variables
Process mining
Surgical block
Data mining
Decision making
Quality assurance
Quality control
Surgery
Metadatos
Mostrar el registro completo del ítemJournal
Smart Innovation, Systems and TechnologiesDOI
10.1007/978-3-030-57566-3_16Enlaces adicionales
https://www.scopus.com/record/display.uri?eid=2-s2.0-85098146420&doi=10.1007%2f978-3-030-57566-3_16&origin=inward&txGid=22205db81116fd2d41879796b857e729Resumen
In this paper, we proposed a method that allows us to formulate and evaluate process mining indicators through questions related to the process traceability, and to bring about a clear understanding of the process variables through data visualization techniques. This proposal identifies bottlenecks and violations of policies that arise due to the difficulty of carrying out measurements and analysis for the improvement of process quality assurance and process transformation. The proposal validation was carried out in a health clinic in Lima (Peru) with data obtained from an information system that supports the surgery block process. Finally, the results contribute to the optimization of decision-making by the medical staff involved in the surgery block process.Tipo
OtherDerechos
info:eu-repo/semantics/openAccessIdioma
engDescripción
El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.ISSN
21903018EISSN
21903026ae974a485f413a2113503eed53cd6c53
10.1007/978-3-030-57566-3_16
Scopus Count
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