This manuscript investigates how Business Analytics (BA) may be practically exploited within the Knowledge Management process or activities to improve decision making. In particular, we developed a case study within a European private hospital in which we applied Process Mining an emerging type of BA to a six-month event dataset of the emergency department hip fracture diagnosis process for identifying delays linked to knowledge sharing issues. The evidences showed that, in over one case out of three, knowledge-sharing-related issues hindered the hospital in complying with the emergency department time targets and led to inefficient decision making. Hence, we proposed two preliminary solutions that may cope with such issues and that might decrease the patient's Length of Stay and reduce the corresponding costs.
Leveraging Analytics for Improving Knowledge Sharing: a Case in the Healthcare Sector
Stefanini A.Secondo
;Zerbino P.
Ultimo
2019-01-01
Abstract
This manuscript investigates how Business Analytics (BA) may be practically exploited within the Knowledge Management process or activities to improve decision making. In particular, we developed a case study within a European private hospital in which we applied Process Mining an emerging type of BA to a six-month event dataset of the emergency department hip fracture diagnosis process for identifying delays linked to knowledge sharing issues. The evidences showed that, in over one case out of three, knowledge-sharing-related issues hindered the hospital in complying with the emergency department time targets and led to inefficient decision making. Hence, we proposed two preliminary solutions that may cope with such issues and that might decrease the patient's Length of Stay and reduce the corresponding costs.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
