Modelo de protección de eventos para proyectos de minería de procesos y data visualization en el sector salud

Abstract

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 Minería de Procesos deI Sector SaIud. En Ia primera etapa deI proyecto implica reaIizar un análisis de Ias herramientas, modeIos y requerimientos que otorga Ia minería 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 características, 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 minería 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.