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 …

Background Diagnostic error is a frequent and clinically relevant health-care problem.
Whether computerised diagnostic decision support systems (CDDSSs) improve diagnoses …

Early descriptions of clinical reasoning have described a dual process model that relies on
analytical or nonanalytical approaches to develop a working diagnosis. In this classic …

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

In emergency department (ED) settings, rapid and precise diagnostic evaluations are critical
to ensure better patient outcomes and efficient healthcare delivery. This study assesses the …

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