Design and implementation of a tool for acute chest-pain management in an Emergency Department

Accurate and timely management of chest pain in the emergency department is essential to ensure effective clinical intervention and reduce the risk of adverse outcomes. However, currently available tools often have limitations in terms of data integration and decision support. This thesis describes the design and implementation of an innovative clinical software for the optimisation of the diagnostic process in patients with chest pain in an emergency setting, with the aim of supporting the physician in making the best clinical decision.The developed application integrates and correlates different clinical data sources, including ECG, vital parameters, laboratory biomarkers (troponin), internationally recognised and validated risk scores, administered drug therapy and acquired diagnostic reports. Through an intuitive interface based on advanced web technologies, the system provides structured support to clinicians in decision-making, reducing the margin of human error and improving the management and integration of clinical information. Preliminary results suggest that the application may offer a more complete view of the patient's clinical picture, optimising risk stratification and reducing the number of inappropriate hospitalisations and discharges. To move beyond the prototype phase and further validate the effectiveness of the system, a test phase in a real clinical environment with the direct involvement of healthcare professionals is proposed. This proposal represents a first step towards digital innovation in emergency chest pain management, highlighting the potential of biomedical and information technology to support the clinician. The system aims to effectively exploit and integrate the clinical information already available, promoting faster, more accurate and efficient decision-making.