1.
Musa, Dahlia; Guido-Sanz, Frank; Anderson, Mindi; Daher, Salam
Reliability of wound measurement methods Journal Article
In: IEEE Open Journal of Instrumentation & Measurement. vol. 1, pp. 1-9, vol. 1, pp. 1-9, 2022, ISSN: 2768-7236.
@article{musa2022reliability,
title = {Reliability of wound measurement methods},
author = {Dahlia Musa and Frank Guido-Sanz and Mindi Anderson and Salam Daher},
url = {https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9942711},
doi = {10.1109/OJIM.2022.3219471},
issn = { 2768-7236},
year = {2022},
date = {2022-11-08},
urldate = {2022-11-08},
journal = {IEEE Open Journal of Instrumentation & Measurement. vol. 1, pp. 1-9},
volume = {1},
pages = {1-9},
abstract = {Reliable and accurate measurement methods are necessary for the clinical assessment of wounds. Repeated measure of a wound indicates whether its healing is progressing or deteriorating, and if alternate treatment must be initiated. Many wound measurement techniques lack accuracy and reliability. Technology: We developed a software prototype that calculates 3-D wound measurements from 3-D scans. We conducted a study to compare the software prototype to physical and 2-D image measurement techniques commonly used by clinicians. We compared inter-rater reliability between the techniques and measurements (i.e., length, width, depth, perimeter, and surface area). Results: Inter-rater reliability was good or excellent for the physical, image, and software measurement techniques; however, there were significant differences in measurements between the techniques. For complex measurements (i.e., perimeter and surface area), the reliability of the software exceeded that of the physical and image techniques. Conclusion: Although inter-rater reliability was high for all measurement techniques, there was significant variability between the techniques. The software was overall most reliable, especially for calculation of complex measurements. Clinical Impact: Reducing the variability of wound measurements may improve patient outcomes, reduce wound prevalence, and mitigate the associated morbidity, mortality, and costs of these occurrences.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Reliable and accurate measurement methods are necessary for the clinical assessment of wounds. Repeated measure of a wound indicates whether its healing is progressing or deteriorating, and if alternate treatment must be initiated. Many wound measurement techniques lack accuracy and reliability. Technology: We developed a software prototype that calculates 3-D wound measurements from 3-D scans. We conducted a study to compare the software prototype to physical and 2-D image measurement techniques commonly used by clinicians. We compared inter-rater reliability between the techniques and measurements (i.e., length, width, depth, perimeter, and surface area). Results: Inter-rater reliability was good or excellent for the physical, image, and software measurement techniques; however, there were significant differences in measurements between the techniques. For complex measurements (i.e., perimeter and surface area), the reliability of the software exceeded that of the physical and image techniques. Conclusion: Although inter-rater reliability was high for all measurement techniques, there was significant variability between the techniques. The software was overall most reliable, especially for calculation of complex measurements. Clinical Impact: Reducing the variability of wound measurements may improve patient outcomes, reduce wound prevalence, and mitigate the associated morbidity, mortality, and costs of these occurrences.
2.
Daher, Salam; Sanz, Frank Guido; Musa, Dahlia; Anderson, Mindi; Diaz, Desiree; Talbert, Steven
System to Visualize, Measure and Track Skin Abnormalities (ViMeT) Patent
2022.
@patent{system2022daher,
title = {System to Visualize, Measure and Track Skin Abnormalities (ViMeT)},
author = {Salam Daher and Frank Guido Sanz and Dahlia Musa and Mindi Anderson and Desiree Diaz and Steven Talbert},
year = {2022},
date = {2022-06-03},
urldate = {2022-06-03},
howpublished = {Provisional Patent filed},
keywords = {},
pubstate = {published},
tppubtype = {patent}
}
3.
Anderson, Mindi; Guido-Sanz, Frank; Talbert, Steven; Diaz, Desiree; Musa, Dahlia; Daher, Salam
Optimizing Pressure Injury Measurement Study (OPIMS) Conference
International Nursing Association for Clinical Simulation and Learning (INACSL), 2022.
@conference{anderson2022optimizing,
title = {Optimizing Pressure Injury Measurement Study (OPIMS)},
author = {Mindi Anderson and Frank Guido-Sanz and Steven Talbert and Desiree Diaz and Dahlia Musa and Salam Daher},
url = {PDF available upon request},
year = {2022},
date = {2022-06-01},
urldate = {2022-06-01},
booktitle = { International Nursing Association for Clinical Simulation and Learning (INACSL)},
journal = { International Nursing Association for Clinical Simulation and Learning (INACSL)},
pages = {1},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
2022
Dahlia Musa, Frank Guido-Sanz, Mindi Anderson, Salam Daher
Reliability of wound measurement methods Journal Article
In: IEEE Open Journal of Instrumentation & Measurement. vol. 1, pp. 1-9, vol. 1, pp. 1-9, 2022, ISSN: 2768-7236.
Abstract | Links | BibTeX | Tags: 2022, 3-D scanning, Dahila Musa, Frank Guido-Sanz, image, m3dw, Mindi Anderson, physical, Realibility, Salam Daher, Software, Variability, Wound measurement
@article{musa2022reliability,
title = {Reliability of wound measurement methods},
author = {Dahlia Musa and Frank Guido-Sanz and Mindi Anderson and Salam Daher},
url = {https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9942711},
doi = {10.1109/OJIM.2022.3219471},
issn = { 2768-7236},
year = {2022},
date = {2022-11-08},
urldate = {2022-11-08},
journal = {IEEE Open Journal of Instrumentation & Measurement. vol. 1, pp. 1-9},
volume = {1},
pages = {1-9},
abstract = {Reliable and accurate measurement methods are necessary for the clinical assessment of wounds. Repeated measure of a wound indicates whether its healing is progressing or deteriorating, and if alternate treatment must be initiated. Many wound measurement techniques lack accuracy and reliability. Technology: We developed a software prototype that calculates 3-D wound measurements from 3-D scans. We conducted a study to compare the software prototype to physical and 2-D image measurement techniques commonly used by clinicians. We compared inter-rater reliability between the techniques and measurements (i.e., length, width, depth, perimeter, and surface area). Results: Inter-rater reliability was good or excellent for the physical, image, and software measurement techniques; however, there were significant differences in measurements between the techniques. For complex measurements (i.e., perimeter and surface area), the reliability of the software exceeded that of the physical and image techniques. Conclusion: Although inter-rater reliability was high for all measurement techniques, there was significant variability between the techniques. The software was overall most reliable, especially for calculation of complex measurements. Clinical Impact: Reducing the variability of wound measurements may improve patient outcomes, reduce wound prevalence, and mitigate the associated morbidity, mortality, and costs of these occurrences.},
keywords = {2022, 3-D scanning, Dahila Musa, Frank Guido-Sanz, image, m3dw, Mindi Anderson, physical, Realibility, Salam Daher, Software, Variability, Wound measurement},
pubstate = {published},
tppubtype = {article}
}
Reliable and accurate measurement methods are necessary for the clinical assessment of wounds. Repeated measure of a wound indicates whether its healing is progressing or deteriorating, and if alternate treatment must be initiated. Many wound measurement techniques lack accuracy and reliability. Technology: We developed a software prototype that calculates 3-D wound measurements from 3-D scans. We conducted a study to compare the software prototype to physical and 2-D image measurement techniques commonly used by clinicians. We compared inter-rater reliability between the techniques and measurements (i.e., length, width, depth, perimeter, and surface area). Results: Inter-rater reliability was good or excellent for the physical, image, and software measurement techniques; however, there were significant differences in measurements between the techniques. For complex measurements (i.e., perimeter and surface area), the reliability of the software exceeded that of the physical and image techniques. Conclusion: Although inter-rater reliability was high for all measurement techniques, there was significant variability between the techniques. The software was overall most reliable, especially for calculation of complex measurements. Clinical Impact: Reducing the variability of wound measurements may improve patient outcomes, reduce wound prevalence, and mitigate the associated morbidity, mortality, and costs of these occurrences.
Salam Daher, Frank Guido Sanz, Dahlia Musa, Mindi Anderson, Desiree Diaz, Steven Talbert
System to Visualize, Measure and Track Skin Abnormalities (ViMeT) Patent
2022.
BibTeX | Tags: Dahila Musa, Desiree Diaz, Frank Guido-Sanz, m3dw, Mindi Anderson, Salam Daher, Steven Talbert
@patent{system2022daher,
title = {System to Visualize, Measure and Track Skin Abnormalities (ViMeT)},
author = {Salam Daher and Frank Guido Sanz and Dahlia Musa and Mindi Anderson and Desiree Diaz and Steven Talbert},
year = {2022},
date = {2022-06-03},
urldate = {2022-06-03},
howpublished = {Provisional Patent filed},
keywords = {Dahila Musa, Desiree Diaz, Frank Guido-Sanz, m3dw, Mindi Anderson, Salam Daher, Steven Talbert},
pubstate = {published},
tppubtype = {patent}
}
Mindi Anderson, Frank Guido-Sanz, Steven Talbert, Desiree Diaz, Dahlia Musa, Salam Daher
Optimizing Pressure Injury Measurement Study (OPIMS) Conference
International Nursing Association for Clinical Simulation and Learning (INACSL), 2022.
Links | BibTeX | Tags: 2022, Dahila Musa, Desiree Diaz, Frank Guido-Sanz, m3dw, Mindi Anderson, Salam Daher, Steven Talbert
@conference{anderson2022optimizing,
title = {Optimizing Pressure Injury Measurement Study (OPIMS)},
author = {Mindi Anderson and Frank Guido-Sanz and Steven Talbert and Desiree Diaz and Dahlia Musa and Salam Daher},
url = {PDF available upon request},
year = {2022},
date = {2022-06-01},
urldate = {2022-06-01},
booktitle = { International Nursing Association for Clinical Simulation and Learning (INACSL)},
journal = { International Nursing Association for Clinical Simulation and Learning (INACSL)},
pages = {1},
keywords = {2022, Dahila Musa, Desiree Diaz, Frank Guido-Sanz, m3dw, Mindi Anderson, Salam Daher, Steven Talbert},
pubstate = {published},
tppubtype = {conference}
}