PULAB - Computational-Intelligence Aided Management, Diagnosis, Teleassistance and e-Learning of Pressure Ulcers

Laura Morente, Francisco J. Veredas, Héctor Mesa, Enrique Morris

2011

Abstract

The pressure ulcer is a clinical pathology with high prevalence rates, which involve high costs for the Health systems. The health promotion carried on these lesions, as well as the prevention, suitable evaluation and correct treatment, have become effective indicators of the quality of health assistance. PULAB (Pressure Ulcer LABoratory) is a computational tool that enables remote management, diagnosis and monitoring of pressure ulcers, which include digital images of the wounds. This teleassistance software gives support to the collaborative work of multiple clinical experts to concurrently evaluate the pressure ulcers by reaching consensus on each particular case, based on the effective analysis of automatically segmented and tissue-labeled images of the wounds. In the current phase of our research project an e-learning module for pressure ulcer diagnosis education is being designed, which will turn this software into a valuable pedagogical tool for pressure-ulcer-management training for undergraduate students and professional clinicians.

Paper Citation

in Harvard Style

Morente L., Veredas F., Mesa H. and Morris E. (2011). PULAB - Computational-Intelligence Aided Management, Diagnosis, Teleassistance and e-Learning of Pressure Ulcers . In Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2011) ISBN 978-989-8425-34-8, pages 394-398. DOI: 10.5220/0003275003940398

in Bibtex Style

@conference{healthinf11,
author={Laura Morente and Francisco J. Veredas and Héctor Mesa and Enrique Morris},
title={PULAB - Computational-Intelligence Aided Management, Diagnosis, Teleassistance and e-Learning of Pressure Ulcers },
booktitle={Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2011)},
year={2011},
pages={394-398},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003275003940398},
isbn={978-989-8425-34-8},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2011)
TI - PULAB - Computational-Intelligence Aided Management, Diagnosis, Teleassistance and e-Learning of Pressure Ulcers
SN - 978-989-8425-34-8
AU - Morente L.
AU - Veredas F.
AU - Mesa H.
AU - Morris E.
PY - 2011
SP - 394
EP - 398
DO - 10.5220/0003275003940398