Background: The respiratory care department of one campus within our health system evaluated simulation-based medical education for training and competency evaluation of the mini bronchoalveolar lavage (mini-BAL) procedure, with an emphasis on patient safety and procedure performance standards.

Methods: Training and competency evaluation occurred in 4 phases. In phase one, 24 staff respiratory therapists (RTs) were randomly chosen and individually underwent a simulation-based test of their mini-BAL performance, using a patient-simulator mannequin. Their performance on this test reflected the effectiveness of traditional training methods. In phase two, 83 staff RTs were given unlimited access to a Web-based curriculum on mini-BAL, including a video of a mini-BAL. They then took 2 tests: one online Web-based test, then a patient-simulator test. In phase three, the same 83 RTs attended a workshop that used the patient simulator for training and practice, then were re-evaluated with the patient-simulator test. Phase four was another simulator-based re-evaluation, 90 days after phase three, to study skills retention.

Results: The mean scores were: phase one 73 +/- 10%, phase two 77 +/- 11%, phase three 95 +/- 5% (p < 0.01), phase four 92 +/- 8%.

Conclusion: Our results suggest that employing simulation technology within a comprehensive departmental program can enhance staff training.

Download full-text PDF

Source

Publication Analysis

Top Keywords

phase three
12
phase +/-
12
phase
9
simulation technology
8
training competency
8
competency evaluation
8
phase staff
8
patient-simulator test
8
test phase
8
training
7

Similar Publications

Symmetry-breaking spin-state transitions in two of three isostructural salts of MnIII spin-crossover cations, [MnIII(3-OMe-5-NO2-sal2323)]+, with heavy anions are reported. The ReO4-  salt undergoes two-step spin crossover which is coupled with a re-entrant symmetry-breaking structural phase transition between a high temperature phase (S = 2, C2/c), an intermediate ordered phase (S = 1/S = 2, P21/c), and a low temperature phase (S = 1, C2/c). The AsF6-  complex undergoes an abrupt transition between a high temperature phase (S = 2, C2/c) and a low temperature ordered phase (S = 1/S = 2, P-1).

View Article and Find Full Text PDF

Background: Post-inflammatory hyperpigmentation (PIH) is a common cosmetic concern, often leading to significant psychological distress for the patients. With the widespread application of lasers including ablative fractional resurfacing (AFR) with a 10,600 nm CO laser, PIH caused by lasers is becoming increasingly common. But due to the absence of an appropriate animal research model, our understanding of pathophysiological mechanisms and preventive strategies for PIH remains limited.

View Article and Find Full Text PDF

Purpose: Intravitreal injections of anti-VEGF agents are considered as safe, with a very low rate of intraocular inflammations (IOI). Faricimab is a novel intravitreal bispecific antibody targeting both VEGF-A and angiopoietin-Tie2 independently. Despite a safe profile in randomized clinical trials, several real-life studies have reported cases of IOI.

View Article and Find Full Text PDF

In a previous preliminary study, radiomic features from the largest and the hottest lesion in baseline F-FDG PET/CT (bPET/CT) of classical Hodgkin's Lymphoma (cHL) predicted early response-to-treatment and prognosis. Aim of this large retrospectively-validated study is to evaluate the predictive role of two-lesions radiomics in comparison with other clinical and conventional PET/CT models. cHL patients with bPET/CT between 2010 and 2020 were retrospectively included and randomized into training-validation sets.

View Article and Find Full Text PDF

Deep Learning to Simulate Contrast-Enhanced MRI for Evaluating Suspected Prostate Cancer.

Radiology

January 2025

From the Department of Radiology, Shenzhen Nanshan People's Hospital, Shenzhen University, Taoyuan Rd No. 89, Nanshan District, Shenzhen 518000, Guangdong, China (H.H., Z.D., Y.Q.); Medical AI Laboratory and Guangdong Key Laboratory of Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen, China (J.M., R.L., B.H.); Department of Medical Imaging, People's Hospital of Longhua, Shenzhen, Guangdong, China (X.P., Y.Z.); and Department of Radiology, Shenzhen People's Hospital, Shenzhen, Guangdong, China (D.Z., G.H.).

Background Multiparametric MRI, including contrast-enhanced sequences, is recommended for evaluating suspected prostate cancer, but concerns have been raised regarding potential contrast agent accumulation and toxicity. Purpose To evaluate the feasibility of generating simulated contrast-enhanced MRI from noncontrast MRI sequences using deep learning and to explore their potential value for assessing clinically significant prostate cancer using Prostate Imaging Reporting and Data System (PI-RADS) version 2.1.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!