Background: Few studies have described the insights of frontline health care providers and patients on how the diagnostic process can be improved in the emergency department (ED), a setting at high risk for diagnostic errors. The authors aimed to identify the perspectives of providers and patients on the diagnostic process and identify potential interventions to improve diagnostic safety.
Methods: Semistructured interviews were conducted with 10 ED physicians, 15 ED nurses, and 9 patients/caregivers at two separate health systems. Interview questions were guided by the ED-Adapted National Academies of Sciences, Engineering, and Medicine Diagnostic Process Framework and explored participant perspectives on the ED diagnostic process, identified vulnerabilities, and solicited interventions to improve diagnostic safety. The authors performed qualitative thematic analysis on transcribed interviews.
Results: The research team categorized vulnerabilities in the diagnostic process and intervention opportunities based on the ED-Adapted Framework into five domains: (1) team dynamics and communication (for example, suboptimal communication between referring physicians and the ED team); (2) information gathering related to patient presentation (for example, obtaining the history from the patients or their caregivers; (3) ED organization, system, and processes (for example, staff schedules and handoffs); (4) patient education and self-management (for example, patient education at discharge from the ED); and (5) electronic health record and patient portal use (for example, automatic release of test results into the patient portal). The authors identified 33 potential interventions, of which 17 were provider focused and 16 were patient focused.
Conclusion: Frontline providers and patients identified several vulnerabilities and potential interventions to improve ED diagnostic safety. Refining, implementing, and evaluating the efficacy of these interventions are required.
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http://dx.doi.org/10.1016/j.jcjq.2024.03.003 | DOI Listing |
Orphanet J Rare Dis
January 2025
Department of Diabetes, Endocrinology and Metabolism, University Hospitals Birmingham NHS Foundation Trust, Queen Elizabeth Hospital, Birmingham, B15 2TH, UK.
Background: Alström syndrome (AS) is a recessively inherited genetic condition which is ultra-rare and extremely complex. Symptoms include retinal dystrophy, nystagmus, photophobia, hearing loss, obesity, insulin resistance, diabetes and cardiomyopathy. The condition is progressive, but it is important to note that not all the complications associated with AS occur in everyone affected.
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January 2025
The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China.
Background: The diagnosis and treatment of epilepsy continue to face numerous challenges, highlighting the urgent need for the development of rapid, accurate, and non-invasive methods for seizure detection. In recent years, advancements in the analysis of electroencephalogram (EEG) signals have garnered widespread attention, particularly in the area of seizure recognition.
Methods: A novel hybrid deep learning approach that combines feature fusion for efficient seizure detection is proposed in this study.
EMBO Mol Med
January 2025
Safety of Biomedicines and Diagnostics, Paul-Ehrlich-Institut, Langen, Germany.
Suspected adverse reactions following chimeric antigen receptor T-cell (CAR T) treatment include more and more cases of secondary T-cell malignancies. The causality assessment of such suspected reactions challenges established evaluation practices due to (i) patient and product-specific risk factors and (ii) incomplete data available with post-marketing reports submitted to competent authorities. This is of particular relevance for gene therapy products that integrate into the host genome.
View Article and Find Full Text PDFCerebellum
January 2025
Center for Language and Cognition, University of Groningen, PO box 716, 9700 AS, Groningen, the Netherlands.
Pediatric cerebellar tumor survivors may present with spontaneous language impairments following treatment, but the nature of these impairments is still largely unclear. A recent study by Svaldi et al. (Cerebellum.
View Article and Find Full Text PDFJ Imaging Inform Med
January 2025
Laboratory of Computing, Medical Informatics and Biomedical Imaging Technologies, School of Medicine, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece.
A scoping review was conducted to investigate the role of radiological imaging, particularly high-resolution computed tomography (HRCT), and artificial intelligence (AI) in diagnosing and prognosticating idiopathic pulmonary fibrosis (IPF). Relevant studies from the PubMed database were selected based on predefined inclusion and exclusion criteria. Two reviewers assessed study quality and analyzed data, estimating heterogeneity and publication bias.
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