This body of clinical publications focuses on SEM assessment technology in a clinical setting, how SEM assessments can support clinical decision making and the overwhelming benefits of implementing SEM assessment technology in any care setting to improve the prevention of pressure injuries/ulcers (PI/U).
Gefen, A. et al. 2022. International Wound Journal
Aim: The goal of this study was to develop a machine learning based prediction algorithm for effective differential diagnosis and prediction of heel DTIs (before they appear visually).
Ousey, K. et al. 2022. Journal of Wound Care
Aim: To assess the effectiveness of sub-epidermal moisture (SEM) assessment technology as an adjunct to visual assessment to reduce PI/U incidence alongside standard PI/U care pathways.
Aim: To assess anonymous patient-level data on the use of sub-epidermal moisture (SEM) assessment technology as a tool in the prevention of PI/U in at-risk hospital patients.
Tobiano, G. et al. 2023. Journal of Advanced Nursing
Aim: To assess patients’ and nurses’ perceptions and experiences of sub-epidermal moisture scanning acceptability.
Click here to access our extensive SEM assessment technology bibliography
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