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

Topics: Databases and Datawarehousing; Decision Support Systems; Ehealth; Healthcare Management Systems; Knowledge Management; Medical and Nursing Informatics; Pattern Recognition and Machine Learning; Telemedicine

Authors: Laura Morente 1 ; Francisco J. Veredas 2 ; Héctor Mesa 2 and Enrique Morris 2

Affiliations: 1 Escuela Universitaria de Enfermería and Diputación Provincial de Málaga, Spain ; 2 Universidad de Málaga, Spain

Keyword(s): Pressure Ulcer, Computational Intelligence, Computer Vision, Teleassistance, e-Learning, Nursing Informatics, Software, Collaborative Diagnosis.

Related Ontology Subjects/Areas/Topics: Biomedical Engineering ; Cardiovascular Technologies ; Cloud Computing ; Computing and Telecommunications in Cardiology ; Data Engineering ; Databases and Datawarehousing ; Decision Support Systems ; e-Health ; Enterprise Information Systems ; Health Engineering and Technology Applications ; Health Information Systems ; Healthcare Management Systems ; Information Systems Analysis and Specification ; Knowledge Management ; Medical and Nursing Informatics ; Ontologies and the Semantic Web ; Pattern Recognition and Machine Learning ; Platforms and Applications ; Society, e-Business and e-Government ; Telemedicine ; Web Information Systems and Technologies

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 train ing for undergraduate students and professional clinicians. (More)

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Paper citation in several formats:
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 (BIOSTEC 2011) - HEALTHINF; ISBN 978-989-8425-34-8; ISSN 2184-4305, SciTePress, pages 394-398. DOI: 10.5220/0003275003940398

@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 (BIOSTEC 2011) - HEALTHINF},
year={2011},
pages={394-398},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003275003940398},
isbn={978-989-8425-34-8},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the International Conference on Health Informatics (BIOSTEC 2011) - HEALTHINF
TI - PULAB - Computational-Intelligence Aided Management, Diagnosis, Teleassistance and e-Learning of Pressure Ulcers
SN - 978-989-8425-34-8
IS - 2184-4305
AU - Morente, L.
AU - Veredas, F.
AU - Mesa, H.
AU - Morris, E.
PY - 2011
SP - 394
EP - 398
DO - 10.5220/0003275003940398
PB - SciTePress