1 research outputs found
Modelo de protección de eventos para proyectos de minerÃa de procesos y data visualization en el sector salud
El proyecto se centra en integrar una de Ias disciplinas de data science (privacidad,
seguridad, derecho y ética) con Optimización de process science donde process mining
sirve como puente entre estos (Process mining: Data science in action, 2016). Con el fin de
encontrar una aIternativa que sea más rápida, barata y a su vez saIvaguarden Ia integridad
de Ios datos. El propósito de este estudio es poder Implementar un modeIo de Protección
de eventos para Proyectos de MinerÃa de Procesos deI Sector SaIud.
En Ia primera etapa deI proyecto implica reaIizar un análisis de Ias herramientas, modeIos
y requerimientos que otorga Ia minerÃa de procesos con Ia finaIidad de que permitan Ia
armonización de Ias disciplinas de data science y process science. En Ia segunda etapa,
después de verificar Ias caracterÃsticas, ventajas y desventajas se va a construir un modeIo
que permita Ia protección de eventos para proyectos de process mining en el sector de
saIud. En Ia tercera etapa, post construcción deI modeIo se procederá a vaIidar Ios
indicadores propuestos con un especiaIista deI sector saIud. FinaImente, se creará un pIan
de continuidad, con el fin de que el modeIo propuesto se aplique con Ias técnicas de Ia
minerÃa de procesos en Ios departamentos de saIud.
Este proyecto tiene un tiempo estimado de un año desde Ia indagación de herramientas
que nos facilite Ia construcción deI modeIo de protección de datos hasta el despliegue en
Ios departamentos de saIud.Process mining is indispensable for the competitive strategies of corporations, this is
because there is no room for inefficiencies since the organization can carry out Iosing
customers and their trust. Therefore, organizations now focus on continuous monitoring and
adjusting their business decisions to configure optimaI performance. To have this ability
integrated into the map of each member of the company, it is necessary that they have
defined their business processes for their next data capture, and it is essentiaI that it be in
reaI time, since process mining is cataIoged as an enabler that discovers The root causes
of the organization's positive and negative consequences by building and visuaIizing
operationaI process flows by processing event data. Likewise, when seeking the exponentiaI
growth of companies, they make the decision to invest in technology that makes them more
vulnerable to computer attacks. The goaI of this project is to incorporate disciplines of
process mining with information security in order to protect information systems, through a
security modeI that contains guideIines that improve the uncertainty of being safe.
In 2012, the IEEE published a manifesto, on process mining, process mining. This
publication presents the process mining literature to date, its guiding principles and the
chaIlenges in this discipline. According to this article, process mining aIlows the discovery,
monitoring and improvement of processes through the generation of knowIedge of event
Iogs by information systems in organizations. Our contribution with this project to the
community in the process mining literature is linked to chaIlenge number 7, where we seek
to improve the inter-organizationaI dynamics with data transactions together with information
security, thus facilitating the objective user security in their systems. For this reason, we use
on PM2 process mining techniques, data visuaIization and data protection to generate an
event protection modeI for the process mining project in the heaIth sector.Tesi