TY - GEN
T1 - Integration method to protect the privacy and security of information in Process Mining projects
T2 - 5th IEEE Sciences and Humanities International Research Conference, SHIRCON 2021
AU - Rojas, Gianella Stefania Pacheco
AU - Armas-Aguirre, Jimmy
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - 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%.
AB - 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%.
KW - Data
KW - data visualization
KW - Health
KW - Healthcare
KW - methodology
KW - Privacy
KW - Process Mining
KW - Systematic Review
KW - visual analytics
UR - https://www.scopus.com/pages/publications/85124417804
U2 - 10.1109/SHIRCON53068.2021.9652370
DO - 10.1109/SHIRCON53068.2021.9652370
M3 - Contribución a la conferencia
AN - SCOPUS:85124417804
T3 - Proceedings of the 2021 IEEE Sciences and Humanities International Research Conference, SHIRCON 2021
BT - Proceedings of the 2021 IEEE Sciences and Humanities International Research Conference, SHIRCON 2021
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 17 November 2021 through 19 November 2021
ER -