Process mining is gaining significant importance in the healthcare domain, where the quality of services depends on the suitable and efficient execution of processes. A pivotal challenge for the application of process mining in the healthcare domain comes from the growing importance of multi-centric studies, where privacy-preserving techniques are strongly needed. In this paper, building on top of the well-known Alpha algorithm, we introduce a distributed process mining approach, that allows to overcome problems related to privacy and data being spread around. The introduced technique allows to perform process mining without sharing any patients-related information, thus ensuring privacy and maximizing the possibility of cooperation among hospitals.

Gatta, R., Vallati, M., Lenkowicz, J., Masciocchi, C., Cellini, F., Boldrini, L., Llatas, C. F., Valentini, V., Damiani, A., On the feasibility of distributed process mining in healthcare, (FARO, 12-14 June 2019), <<LECTURE NOTES IN COMPUTER SCIENCE>>, 2019; 11540 (N/A): 445-452.[doi: 10.1007/978-3-030-22750-0_36] [http://hdl.handle.net/10807/203504]

On the feasibility of distributed process mining in healthcare

Gatta, Roberto;Lenkowicz, Jacopo;Masciocchi, Carlotta;Cellini, Francesco;Boldrini, Luca;Valentini, Vincenzo;Damiani, Andrea
2019

Abstract

Process mining is gaining significant importance in the healthcare domain, where the quality of services depends on the suitable and efficient execution of processes. A pivotal challenge for the application of process mining in the healthcare domain comes from the growing importance of multi-centric studies, where privacy-preserving techniques are strongly needed. In this paper, building on top of the well-known Alpha algorithm, we introduce a distributed process mining approach, that allows to overcome problems related to privacy and data being spread around. The introduced technique allows to perform process mining without sharing any patients-related information, thus ensuring privacy and maximizing the possibility of cooperation among hospitals.
Inglese
19th International Conference on Computational Science, ICCS 2019
FARO
12-giu-2019
14-giu-2019
Gatta, R., Vallati, M., Lenkowicz, J., Masciocchi, C., Cellini, F., Boldrini, L., Llatas, C. F., Valentini, V., Damiani, A., On the feasibility of distributed process mining in healthcare, (FARO, 12-14 June 2019), <<LECTURE NOTES IN COMPUTER SCIENCE>>, 2019; 11540 (N/A): 445-452.[doi: 10.1007/978-3-030-22750-0_36] [http://hdl.handle.net/10807/203504]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10807/203504
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