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Evaluation Method of Variables and Indicators for Surgery Block Process Using Process Mining and Data Visualization

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Authors
Rojas-Candio, Piero
Villantoy-Pasapera, Arturo
Armas-Aguirre, Jimmy
Aguirre-Mayorga, Santiago
Issue Date
2021-01-01
Keywords
Data visualization
Healthcare
Medical variables
Process mining
Surgical block
Data mining
Decision making
Quality assurance
Quality control
Surgery

Metadata
Show full item record
Journal
Smart Innovation, Systems and Technologies
URI
http://hdl.handle.net/10757/653799
DOI
10.1007/978-3-030-57566-3_16
Additional Links
https://www.scopus.com/record/display.uri?eid=2-s2.0-85098146420&doi=10.1007%2f978-3-030-57566-3_16&origin=inward&txGid=22205db81116fd2d41879796b857e729
Abstract
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.
Type
Other
Rights
info:eu-repo/semantics/openAccess
Language
eng
Description
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
21903018
EISSN
21903026
ae974a485f413a2113503eed53cd6c53
10.1007/978-3-030-57566-3_16
Scopus Count
Collections
Ingeniería de Sistemas de Información

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