Objective: To compare diagnostic accuracy between primary care E-Visit and face-to-face (F2F) encounters for low-acuity illnesses.
Patients And Methods: This cross-sectional retrospective analysis of electronic health records in a large not-for-profit integrated delivery system included patients covered by the health care system's employee health plan with an established affiliated physician-patient relationship and an F2F encounter in the past 12 months who had an E-Visit (n=490) or an F2F (n=2201) primary care encounter for a low-acuity illness from July 1, 2015, through December 22, 2016. Patients with a related follow-up visit within 10 days resulting in a revised diagnosis, as determined by 2 physician reviewers, were compared (1) including only the first encounter for each patient and (2) including all encounters more than 10 days apart for included patients.
Results: In both analyses, a follow-up visit occurred within 10 days more than 40% of the time in both groups. However, follow-up visits related to the initial diagnosis occurred only 9% to 12% of the time. Only 2.1% to 2.4% of initial diagnoses were identified by both physician reviewers as revised, whereas 3.8% to 5.5% were so identified by at least 1 reviewer. The only significant difference observed between the E-Visit and F2F groups was in the rate of related follow-up visits when only each patient's first encounter was considered, which was higher for E-Visits (12% vs 9%; P=.04).
Conclusion: Diagnostic accuracy for low-acuity illnesses in this population was equivalent between E-Visit and F2F encounters.
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http://dx.doi.org/10.1016/j.mayocp.2019.02.011 | DOI Listing |
Cancer Imaging
January 2025
Department of Surgery, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, the Netherlands.
Background: Current diagnostic imaging modalities have limited ability to differentiate between malignant and benign pancreaticobiliary disease, and lack accuracy in detecting lymph node metastases. F-Prostate-Specific Membrane Antigen (PSMA) PET/CT is an imaging modality used for staging of prostate cancer, but has incidentally also identified PSMA-avid pancreatic lesions, histologically characterized as pancreatic ductal adenocarcinoma (PDAC). This phase I/II study aimed to assess the feasibility of F-PSMA PET/CT to detect PDAC.
View Article and Find Full Text PDFJ Transl Med
January 2025
School of Information and Communication Engineering, Dalian University of Technology, No. 2 Linggong Road, 116024, Dalian, China.
Background: Parkinson's Disease (PD) is a neurodegenerative disorder, and eye movement abnormalities are a significant symptom of its diagnosis. In this paper, we developed a multi-task driven by eye movement in a virtual reality (VR) environment to elicit PD-specific eye movement abnormalities. The abnormal features were subsequently modeled by using the proposed deep learning algorithm to achieve an auxiliary diagnosis of PD.
View Article and Find Full Text PDFEur J Med Res
January 2025
Division of Radiology, Saraburi Hospital, Saraburi, Thailand.
Introduction: Stroke-associated pneumonia (SAP) is a major cause of mortality during the acute phase of stroke. The ADS score is widely used to predict SAP risk but does not include 24-h non-contrast computed tomography-Alberta Stroke Program Early CT Score (NCCT-ASPECTS) or red cell distribution width (RDW). We aim to evaluate the added prognostic value of incorporating 24-h NCCT-ASPECTS and RDW into the ADS score and to develop a novel prediction model for SAP following thrombolysis.
View Article and Find Full Text PDFBMC Med Inform Decis Mak
January 2025
Department of Pharmacy, Hangzhou Third People's Hospital, Hangzhou Third Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, China.
Background: Alopecia areata (AA) is a common non-scarring hair loss disorder associated with autoimmune conditions. However, the pathobiology of AA is not well understood, and there is no targeted therapy available for AA. METHODS: In this study, differential gene expression analysis, immune status assessment, weighted correlation network analysis (WGCNA), and functional enrichment analysis were performed to identify shared genes associated with both immunological response and AA.
View Article and Find Full Text PDFBMC Oral Health
January 2025
Pediatric Dentistry Department, Faculty of Dentistry, Başkent University, 06490, Ankara, Turkey.
Background: Hypodontia is the absence of one or more teeth in the primary or permanent dentition during development, and radiographic imaging is the most common method of diagnosis. However, in recent years, artificial intelligence-based decision support systems have been employed to make highly accurate diagnoses. The aim of this study was to classify single premolar agenesis, multiple premolar agenesis, and without tooth agenesis using various artificial intelligence approaches.
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