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Evaluating the Reliability of Ambient-Assisted Living Business Processes

dc.contributor.authorMartinho, Ricardo
dc.contributor.authorDomingos, Dulce
dc.contributor.authorRespício, Ana
dc.date.accessioned2025-06-24T13:49:47Z
dc.date.available2025-06-24T13:49:47Z
dc.date.issued2016
dc.description.abstractAmbient-Assisted Living (AAL) systems provide a wide range of applications in order to improve the quality of life of patients. These systems commonly gather several components such as sensors, gateways, Information Systems or even actuators. Reliability of these components is of most importance, mainly due to the impact that a failure can have on a monitored patient. In spite of the existing reliability evaluations and countermeasures that can be associated with an AAL system component, we need to take into account the overall reliability for the several activities and interactions that exist between all the AAL system components, 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 value of a certain AAL BPMN process, and help healthcare managers to 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 UID/MAT/04561/2013 and UID/CEC/00408/2013.
dc.identifier.citationMartinho, R., Domingos, D. and Respício, A. (2016). Evaluating the Reliability of Ambient-Assisted Living Business Processes. In Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 2: ICEIS; ISBN 978-989-758-187-8; ISSN 2184-4992, SciTePress, pages 528-536. DOI: 10.5220/0005917005280536
dc.identifier.doi10.5220/0005917005280536
dc.identifier.isbn978-989-758-187-8
dc.identifier.issn2184-4992
dc.identifier.urihttp://hdl.handle.net/10400.8/13403
dc.language.isoeng
dc.peerreviewedn/a
dc.publisherSCITEPRESS - Science and and Technology Publications
dc.relation.hasversionhttps://www.scitepress.org/Link.aspx?doi=10.5220/0005917005280536
dc.relation.ispartofProceedings of the 18th International Conference on Enterprise Information Systems
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectAmbient-Assisted Living
dc.subjectReliability
dc.subjectBusiness Processes
dc.subjectBPMN
dc.titleEvaluating the Reliability of Ambient-Assisted Living Business Processeseng
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferenceDate2016
oaire.citation.conferencePlaceRome, Italy
oaire.citation.endPage536
oaire.citation.startPage528
oaire.citation.titleProceedings of the 18th International Conference on Enterprise Information Systems (ICEIS 2016)
oaire.citation.volume2
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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