Integration method to protect the privacy and security of information in Process Mining projects: A case study on surgery block

Gianella Stefania Pacheco Rojas, Jimmy Armas-Aguirre

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

In this paper, we proposed a method that allows the integration between privacy and understanding of data in Process Mining projects. Due to the latest reports of cyber attacks in health organizations, an integration method is proposed to protect the privacy and security of sensitive information using the discipline of Process Mining. Although there is research of interest related to process mining and data privacy oriented to the health field, there is still a need to protect the security of the information to protect the results and analysis of the processes. The proposed method is an extension of the methodological proposal of process mining projects including data privacy, which consists of four phases: 1. Definition of the project; 2. Data Preparation; 3. Process Analysis; 4. Redesign of Processes. For validation, data from the Surgery Block process of a private health institution in Lima, Peru was used. With the method, it was possible to protect 95% of the process data, obtaining as a result the optimization of the process by 50%.

Idioma originalInglés
Título de la publicación alojadaProceedings of the 2021 IEEE Sciences and Humanities International Research Conference, SHIRCON 2021
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9781665429146
DOI
EstadoPublicada - 2021
Evento5th IEEE Sciences and Humanities International Research Conference, SHIRCON 2021 - Lima, Perú
Duración: 17 nov. 202119 nov. 2021

Serie de la publicación

NombreProceedings of the 2021 IEEE Sciences and Humanities International Research Conference, SHIRCON 2021

Conferencia

Conferencia5th IEEE Sciences and Humanities International Research Conference, SHIRCON 2021
País/TerritorioPerú
CiudadLima
Período17/11/2119/11/21

Huella

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