ifkad articles

Leveraging analytics for improving knowledge sharing: a case in the healthcare sector

Grazia Antonacci, Alessandro Stefanini, Pierluigi Zerbino

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.

IN: Proceedings IFKAD 2019 – Knowledge Ecosystems and Growth
PP: 264-274