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.
Aim: To assess the effectiveness of sub-epidermal moisture (SEM) assessment technology as an adjunct to visual assessment to reduce pressure injury incidence alongside standard pressure injury care pathways.
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).
Aim: The presence of sub-epidermal moisture (SEM) over a bony prominence is indicative of incipient pressure injury. Early identification of patients at increased risk of pressure injury can prompt interventions that reduce the incidence and severity of hospital (or community)-acquired pressure injury (HAPI).
Aim: A pragmatic study, aligning with SQUIRE guidelines, was conducted at Chelsea and Westminster hospitals to measure the impact of adding scanning technology to the prevailing standard of care pathway on the incidence of category 2–4 hospital-acquired pressure injury.
Aim: A pragmatic study was conducted to assess the feasibility of preventing pressure injury using SEM technology as an adjunct to routine care in a 22-bed inpatient hospice.
Click here to access our extensive SEM assessment technology bibliography
If you would like to discuss any of the clinical, health economic or real-world evidence on the website or would like further information on them the team would be happy to assist. Please contact us at: [email protected]
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