Processing healthcare data presents significant challenges for clinicians, particularly in chronic disease management such as diabetes care. Traditional data aggregation and summarization methods often struggle to integrate the diverse data sources of health information, ranging from structured electronic health records to unstructured clinical notes. In response to this challenge, the paper proposes a reference framework […]
The goal of the proposed paper is to provide a preliminary Artificial Intelligence (AI) approach addressing the analysis on the prevention of diabetes. The study is performed within the framework of the research project Telediabetolab and focuses on the check of the supervised Support Vector machine (SVM) algorithm to define a method to perform a […]
The goal of the proposed paper is to provide a methodology to map electronic processes of manufacturing control systems matching with Knowledge Management (KM) processes. Specifically, the paper discusses an example of Proportional-Integral-Derivative (PID) process tuning a production machine and enabling quality management and predictive maintenance processes. The PID circuital model is designed by the […]
The healthcare system is currently facing challenges such as an ageing population, rising costs, and a shortage of healthcare workers. To address these issues and ensure sustainability, innovative strategies like telemedicine, lean organization, and process mining must be implemented. These strategic levers can improve efficiency, effectiveness, and patient outcomes by employing machine learning elements to […]
The paper discusses the impacts of Quantum Computer (QC) technology in Industry 5.0 scenarios by focusing attention on application fields such as production management in manufacturing and business modelling. The analysed literature allows for comprehending possible QC implementations and integration in technological architectures. Specifically, the work highlights QC impacts on organization, production and marketing and […]
In the following article, we apply a set of machine learning algorithms to analyse a set of 445 Californian Hospitals. We investigate a variable that can be considered as a synthesis of the economic, financial and organizational performance of the hospital i.e. Net Income. First of all, we have applied a regression analysis with OLS-Ordinary […]
The paper introduces an innovative approach to model risks in healthcare finding possible solutions in organization models and about Human Resources (HR) managing. Specifically, the method is based on the application of the Business Processing Modelling and Notation (BPMN) workflows in healthcare environments merging Lean management methods and Artificial Intelligence (AI) decision making approaches. The […]