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Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/16938
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dc.contributor.authorDingli, Alexiei-
dc.contributor.authorAbela, Charlie-
dc.date.accessioned2017-03-04T16:17:55Z-
dc.date.available2017-03-04T16:17:55Z-
dc.date.issued2008-
dc.identifier.citationDingli, A., & Abela, C. (2008). A pervasive assistant for nursing and doctoral staff. 18th European Conference on Artificial Intelligence (ECAI 2008), Patras. 829-830.en_GB
dc.identifier.urihttps://www.um.edu.mt/library/oar//handle/123456789/16938-
dc.descriptionThis work was carried out within the PINATA project, funded by the Malta Council for Science and Technology (http://www.mcst.org.mt) and done in collaboration with St.James Hospital Malta (http://stjameshospital.com). The project was also supported by the Ministry of Technology (http://www.miti.gov.mt).en_GB
dc.description.abstractThe goal of health-care institutions is to provide patient- centric health care services. Unfortunately, this goal is frequently undermined due to human-related aspects. The PervasIve Nursing And docToral Assistant (PINATA) provides a patient-centric system powered with Ambience Intelligence techniques and Semantic Web technologies. Through PINATA, the movement of patients and medical staff is tracked via RFID sensors while an automated camera system monitors the interaction of people within their environment. The system reacts to particular situations autonomously by directing medical staff towards emergencies in a timely manner and providing them with just the information they require on their handheld devices. This ensures that patients are given the best care possible on a 24/7 basis especially when the medical staff is not around.en_GB
dc.language.isoenen_GB
dc.publisherIOS Pressen_GB
dc.rightsinfo:eu-repo/semantics/openAccessen_GB
dc.subjectUbiquitous computingen_GB
dc.subjectAmbient intelligenceen_GB
dc.subjectMedical informaticsen_GB
dc.subjectIntelligent personal assistants (Computer software)en_GB
dc.titleA pervasive assistant for nursing and doctoral staffen_GB
dc.typeconferenceObjecten_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder.en_GB
dc.bibliographicCitation.conferencename18th European Conference on Artificial Intelligence (ECAI 2008)en_GB
dc.bibliographicCitation.conferenceplacePatras, Greece, 21-25/07/2008en_GB
dc.description.reviewedpeer-revieweden_GB
dc.identifier.doi10.3233/978-1-58603-891-5-829-
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