Background: Despite the promise wearable technology offers through detailed insight into mobility and fall risk, timely identification of high risk, assessment of risk severity, evaluation of clinical interventions, and potential to redefine the assessment of behaviours which influence health, they are not routinely used in clinical practice.
Objective: Establish consensus on how wearable technology can be applied to support clinical care for people aged 50 and over experiencing changes to mobility and/or who are at increased risk of falling.
Methods: A Delphi study was conducted among 17 hospital-based health professionals.
Image-based spatial transcriptomics platforms are powerful tools often used to identify cell populations and describe gene expression in intact tissue. Spatial experiments return large, high-dimension datasets and several open-source software packages are available to facilitate analysis and visualization. Spatial results are typically imperfect.
View Article and Find Full Text PDFBackground: There is increasing evidence to support collaborative care and proactive comprehensive geriatric assessment and management in a number of surgical specialties. Data are lacking in older people under the care of plastic surgeons. This before/after study evaluates the impact of the introduction of a shared care model between geriatric medicine and plastic surgery in an Australian metropolitan teaching hospital.
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