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Implementation Studies

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).

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A Machine Learning Algorithm for Early Detection of Heel Deep Tissue Injuries Based on a Daily History of Sub-Epidermal Moisture Measurements.

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).

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Sub-Epidermal Moisture Assessment as an Adjunct to Visual Assessment in the Reduction of Pressure Ulcer Incidence.

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.

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Sub-Epidermal Moisture Assessment as a Prompt for Clinical Action in Treatment of Pressure Ulcers in at-Risk Hospital Patients.

Ousey, K. et al. 2022. Journal of Wound Care

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.

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End-User Perceptions of Sub-Epidermal Moisture Scanning (SEMS) Acceptability: A Descriptive Qualitative Study.

Tobiano, G. et al. 2023. Journal of Advanced Nursing

Aim: To assess patients’ and nurses’ perceptions and experiences of sub-epidermal moisture scanning acceptability.

Bibliography

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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