Introduction Healthcare systems are complex and challenging for all stakeholders, but
artificial intelligence (AI) has transformed various fields, including healthcare, with the …

Reducing the incidence of diagnostic errors is increasingly a priority for government,
professional, and philanthropic organizations. Several obstacles to measurement of …

Objectives We aimed to determine the frequency of vestibular syndromes, diagnoses,
diagnostic errors and resources used in patients with dizziness in the emergency …

Assessing left ventricular systolic function (LVSF) by echocardiography assists in the
diagnosis and management of a diverse range of patients presenting to the emergency …

Abstract Aims Diagnostic Reasoning (DR) is an essential competency requiring mastery for
safe, independent Nurse Practitioner (NP) practice, but little is known about DR content …

Background Clinical decision-making skills of paramedics have been emphasized because
of the growing complexity of emergency medicine nursing. A preliminary diagnosis made by …

Background Diagnostic errors constitute an important medical safety problem that needs
improvement, and their frequency and severity are high in emergency room settings …

Background: Automated medical history–taking systems that generate differential diagnosis
lists have been suggested to contribute to improved diagnostic accuracy. However, the effect …

Introduction Wrong and missed diagnoses contribute substantially to medical error. Can a
prompt to generate alternative diagnoses (prompt) or a differential diagnosis checklist …

Introduction: Bloodstream infections (BSI) are a major cause of mortality all over the world.
Inappropriate empirical antimicrobial treatment (i-EAT) impact on mortality has been largely …