Publications by authors named "G Magnarelli"
Article Synopsis
- Standardized triage systems have existed for years, but this study explores if nurses' clinical expertise can offer better outcomes in emergency situations.
- The research involved 77 nurses from four Italian emergency departments evaluating 30 simulated clinical cases and comparing triage codes assigned by the Manchester Triage System with those based on nurses' expertise.
- Results showed that nurses' clinical assessments predicted clinical outcomes more accurately, indicating a need to improve triage systems while still utilizing standardized methods for consistency.
Background: Approximately 20 % of emergency department (ED) visits involve cardiovascular symptoms. While ECGs are crucial for diagnosing serious conditions, interpretation accuracy varies among emergency physicians. Artificial intelligence (AI), such as ChatGPT, could assist in ECG interpretation by enhancing diagnostic precision.
View Article and Find Full Text PDFAssessing patient frailty during triage evaluations has become increasingly relevant in Emergency Departments (ED). This study aimed to externally validating the Triage Frailty and Comorbidity (TFC) tool. This prospective study was conducted from June 1 to December 31, 2023.
View Article and Find Full Text PDFBackground: Emergency Departments (EDs) across Italy use different triage systems, which vary from region to region. This study aimed to assess whether nurses working in different EDs assign triage codes in a similar and standardized manner.
Methods: A multicenter observational simulation study involved the EDs of Bolzano Hospital, Merano Hospital, Pisa University Hospital, and Rovereto Hospital.
Article Synopsis
- The study aimed to evaluate how well specially trained triage nurses predict risks compared to the Manchester Triage System (MTS) in an emergency department setting.
- Conducted between June 1 and December 31, 2023, in Merano Hospital, the research involved continuous training for nurses and a comparison of their risk assessments against the MTS using statistical analysis.
- Results showed that expert nurses significantly outperformed the MTS in predicting outcomes like hospital admission and mortality, highlighting the importance of ongoing training for effective patient care.