Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/91619
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dc.contributorDepartment of Industrial and Systems Engineeringen_US
dc.creatorLam, HYen_US
dc.creatorTang, YMen_US
dc.creatorTang, Ven_US
dc.creatorWu, CHen_US
dc.date.accessioned2021-11-22T06:43:40Z-
dc.date.available2021-11-22T06:43:40Z-
dc.identifier.issn1474-6670en_US
dc.identifier.urihttp://hdl.handle.net/10397/91619-
dc.description21st IFAC World Congress: Berlin, Germany, 11–17 July 2020en_US
dc.language.isoenen_US
dc.rightsCopyright © 2020 The Authors. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0)en_US
dc.rightsThe following publication Lam, H. Y., Tang, Y. M., Tang, V., & Wu, C. H. (2020). An Intelligent m-Healthcare System for Improving the Service Quality in Domestic Care Industry. IFAC-PapersOnLine, 53(2), 17439-17444 is available at https://dx.doi.org/10.1016/j.ifacol.2020.12.2113en_US
dc.subjectMobile applicationen_US
dc.subjectFace recognitionen_US
dc.subjectDomestic Care Serviceen_US
dc.subjectHealthcare resourcesen_US
dc.subjectAging populationen_US
dc.titleAn intelligent m-healthcare system for improving the service quality in domestic care industryen_US
dc.typeConference Paperen_US
dc.identifier.spage17439en_US
dc.identifier.epage17444en_US
dc.identifier.volume53en_US
dc.identifier.issue2en_US
dc.identifier.doi10.1016/j.ifacol.2020.12.2113en_US
dcterms.abstractDue to declining fertility rate and increasing life expectancy, population aging has become a growing problem in Hong Kong. Domestic elderly service providers and public health institutions have been suffering from a shortage of experienced staff for elderly healthcare, which has led to a drop in both the quality and efficiency of the local elderly service. With the rising popularity of mobile applications and the betterment of machine vision technology, this paper describes the design of an Intelligent m-Healthcare System (ImHS) for relieving the manpower pressure on local elderly service providers by lowering the technical threshold and simplifying staff training process. Face recognition technology is applied to identify the elderly by searching and tracing the elderly medical record through the FaceAPI service. In addition, the proposed ImHS provides the immediate insight into healthcare knowledge for users, which lowers the occurrence of Adverse Drug Event (ADE) and shortens the duration of pill distribution process. By conducting a case study in a local elderly home, the proposed system allowed the nursing staff to better allocate healthcare resources and to improve the operation effectiveness and efficiency.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationIFAC-PapersOnLine, 2020, v. 53 no. 2, p. 17439-17444en_US
dcterms.isPartOfIFAC-PapersOnLineen_US
dcterms.issued2020-
dc.identifier.isiWOS:000652593600671-
dc.relation.conferenceIFAC World Congressen_US
dc.identifier.eissn2405-8963en_US
dc.description.validate202111 bcwhen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumbera1082-n06-
dc.identifier.SubFormID43896-
dc.description.fundingSourceSelf-fundeden_US
dc.description.pubStatusPublisheden_US
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