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 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 […]
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 […]
During the last two decades, lean healthcare has received increasing attention from both researchers and practitioners because it plays an imperative role in quality and safety clinical process improvement. Although there is much evidence of the positive results of the paradigm implementation at the micro level, only in few cases the methodology is implemented at […]