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Reliability of AAL Systems Modeled as BPMN Business Processes

2017-06-29Capítulo de livro Acesso aberto
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datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
datacite.subject.sdg03:Saúde de Qualidade
datacite.subject.sdg07:Energias Renováveis e Acessíveis
datacite.subject.sdg12:Produção e Consumo Sustentáveis
dc.contributor.authorRespício, Ana
dc.contributor.authorMartinho, Ricardo
dc.contributor.authorDomingos, Dulce
dc.date.accessioned2026-03-18T16:11:20Z
dc.date.available2026-03-18T16:11:20Z
dc.date.issued2017-06-29
dc.description.abstractThe use of Ambient-Assisted Living (AAL) systems has been spreading across several countries, with the ultimate purpose of improving the quality of life of patients. These systems often reflect complex architectures including several components such as sensors, gateways, Information Systems or even actuators, as well as messaging and transmitting protocols. Failures in these systems can have severe impact on a monitored patient, and most components foresee some kind of compensation countermeasures to increase reliability. Nevertheless, these measures are often self-contained to a single component and do not address the overall AAL system reliability, disregarding precedent and successor activities and interactions that exist for each time a certain value is registered or a certain alert is triggered. In this paper, we propose a new approach to calculate the overall reliability of an AAL system. We take a Business Process Management (BPM) approach to model the activities and interactions between AAL components, using the Business Process Model and Notation (BPMN) standard. By extending the BPMN standard to include reliability information, we can derive the overall reliability of a certain AAL system. To prove this approach, we also present a reliability study considering scenarios with single and pairwise reliability variations of AAL system components. With this approach, healthcare managers can benefit from important overall reliability information of an AAL system, and better allocate the appropriate resources (including hardware or health care professionals) to improve responsiveness of care to patients.eng
dc.description.sponsorshipThis work is partially supported by National Funding from FCT - Fundação para a Ciência e a Tecnologia, under the projects PTDC/EEI-ESS/5863/2014, UID/MAT/04561/2013 and UID/CEC/00408/2013. The authors thank Carlos Albuquerque and Ana Paula Claúdio for the insightful conversations.
dc.identifier.doi10.1007/978-3-319-62386-3_24
dc.identifier.isbn9783319623856
dc.identifier.isbn9783319623863
dc.identifier.issn1865-1348
dc.identifier.issn1865-1356
dc.identifier.urihttp://hdl.handle.net/10400.8/15914
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSpringer International Publishing
dc.relationPTDC/EEI-ESS/5863/2014
dc.relationUID/MAT/04561/2013
dc.relationUID/CEC/00408/2013
dc.relation.hasversionhttps://rd.springer.com/chapter/10.1007/978-3-319-62386-3_24
dc.relation.ispartofLecture Notes in Business Information Processing
dc.relation.ispartofEnterprise Information Systems
dc.rights.uriN/A
dc.subjectAmbient-Assisted Living
dc.subjectReliability
dc.subjectBusiness Processes
dc.subjectBPMN
dc.titleReliability of AAL Systems Modeled as BPMN Business Processeseng
dc.typebook part
dspace.entity.typePublication
oaire.citation.endPage550
oaire.citation.startPage535
oaire.citation.titleEnterprise Information Systems
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameMartinho
person.givenNameRicardo
person.identifier.ciencia-idF51E-9BB5-EF92
person.identifier.orcid0000-0003-1157-7510
person.identifier.ridK-8277-2013
person.identifier.scopus-author-id25823103700
relation.isAuthorOfPublicationb2a74e46-f06c-4dcd-8c64-8f78f1d55440
relation.isAuthorOfPublication.latestForDiscoveryb2a74e46-f06c-4dcd-8c64-8f78f1d55440

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