0000000001144576
AUTHOR
Astrid Pietrosi
Artificial intelligence to counteract “KPI overload” in business process monitoring: the case of anti-corruption in public organizations
PurposeThe nature and amount of data that public organizations have to monitor to counteract corruption lead to a phenomenon called “KPI overload”, consisting of the business analyst feeling overwhelmed by the amount of information and resulting in the absence of appropriate control. The purpose of this study is to develop a solution based on Artificial Intelligence technology to avoid data overloading and, at the same time, under-controlling in business process monitoring.Design/methodology/approachThe authors adopted a design science research approach. The authors started by observing a specific problem in a real context (a healthcare organization); then conceptualized, designed and imple…
Digital health technology enhances resilient behaviour: evidence from the ward
PurposeIn the healthcare management domain, there is a lack of knowledge concerning the role of resilience practices in improving patient safety. The purpose of this paper is to understand the capabilities that enable healthcare resilience and how digital technologies can support these capabilities.Design/methodology/approachWithin- and cross-case research methodology was used to study resilience mechanisms and capabilities in healthcare and to understand how digital health technologies impact healthcare resilience. The authors analyze data from two Italian hospitals through the lens of the operational failure literature and anchor the findings to the theory of dynamic capabilities.Findings…
Patients with bicuspid aortic valve are likely to receive an aortic valve prosthesis during prophylactic resection of their ascending aortic aneurysm.
This study aims to evaluate whether thepresence or discovery of a BAV under ATAA repair would impactthe decision-making of the surgical procedure choice.
The contribution of "spontaneous" health care networks to improving outcomes: Opportunities and challenges from the perspective of planning and control systems
The article aims to explore how Planning Control systems may support network-oriented policy-making in the health care sector. This work examines the case of ISMETT (Mediterranean Institute for high specialized transplants and therapies), a Sicilian hospital established in 1998 to provide high specialized and complex transplants and therapies. ISMETT pertains to several networks and it has a long-time experience in establishing and governing such inter-organizational relationships. The analysis of the case illustrates how health care networks may contribute to improve health and generate social and economic outcomes for the community.