Providing quality hospital services, especially when decisions need to be made, highly depends on the suitability and efficiency of the underlying processes, as well as on the capability of monitoring, analysing and using the data of process executions so as to provide operational support to decision makers. Process Mining can be a useful instrument in this setting. In this extended abstract we report about a real-life healthcare scenario, that is supporting the Home Hospitalization Service Team of an Italian hospital in making decisions about the home hospitalization of patients. We sketch the high-level idea of a solution leveraging Natural Language Processing and Process Mining for achieving the goal and report about some preliminary results, as well as about criticalities and challenges arisen so far.
Towards the Application of Process Mining for Supporting the Home Hospitalization Service / Aringhieri, Roberto; Boella, Guido; Brunetti, Enrico; Di Caro, Luigi; Di Francescomarino, Chiara; Dragoni, Mauro; Ferrod, Roger; Ghidini, Chiara; Marinello, Renata; Ronzani, Massimiliano; Sulis, Emilio. - 2952:(2021), pp. 33-38. (Intervento presentato al convegno 19th International Conference of Business ProcessManagement (BPM 2021) tenutosi a Rome, Italy nel September 10th, 2021).
Towards the Application of Process Mining for Supporting the Home Hospitalization Service
Chiara Di Francescomarino;Mauro Dragoni;
2021-01-01
Abstract
Providing quality hospital services, especially when decisions need to be made, highly depends on the suitability and efficiency of the underlying processes, as well as on the capability of monitoring, analysing and using the data of process executions so as to provide operational support to decision makers. Process Mining can be a useful instrument in this setting. In this extended abstract we report about a real-life healthcare scenario, that is supporting the Home Hospitalization Service Team of an Italian hospital in making decisions about the home hospitalization of patients. We sketch the high-level idea of a solution leveraging Natural Language Processing and Process Mining for achieving the goal and report about some preliminary results, as well as about criticalities and challenges arisen so far.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione
