Objectives: Information from indocyanine green (ICG) lymphography (ICG-L) can be used to guide an individual's lymphedema therapy plan. However, the mechanisms for this clinical translation are not well described. This study proposes a novel clinical decision support tool for translating ICG-L findings into individualized lymphedema therapy plans and describes subsequent changes in plan features of manual lymphatic drainage and compression.
View Article and Find Full Text PDFBackground and objectives Falls research has explored the characteristics of patients with a brain injury who experienced falls and the nature of these falls. However, the characteristics of falls with consequence have not yet been investigated. This study aimed to explore the consequences of patient falls in inpatient brain injury rehabilitation.
View Article and Find Full Text PDFAdv Health Sci Educ Theory Pract
November 2024
Simulation-based learning (SBL) is an important component in health professions education and serves as effective preparation or a substitution for clinical placements. Despite their widely accepted benefits, students from culturally and linguistically diverse (CALD) backgrounds may not experience the same learning outcomes from engaging in SBL as their local peers due to complex factors. Supporting students from CALD backgrounds in SBL is vital, not only to optimise their learning experiences and outcomes, but also ensure inclusive health professions education.
View Article and Find Full Text PDFAdv Health Sci Educ Theory Pract
October 2024
To support a complex health system, students are expected to be competent leaders as well as competent clinicians. Intentional student leadership development is needed in health professional education programs. Student-led experiences such as student-run clinics and interprofessional training wards, are practice-based learning opportunities where learners provide leadership to clinical services and/or address a gap in the system.
View Article and Find Full Text PDFComputer Aided Detection (CAD) has been used to help readers find cancers in mammograms. Although these automated systems have been shown to help cancer detection when accurate, the presence of CAD also leads to an over-reliance effect where miss errors and false alarms increase when the CAD system fails. Previous research investigated CAD systems which overlayed salient exogenous cues onto the image to highlight suspicious areas.
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