Rafiki: A Semantic and Collaborative Approach to Community Health-care in Underserved Areas

dc.contributor.authorPappachan, Primal
dc.contributor.authorYus, Roberto
dc.contributor.authorJoshi, Anupam
dc.contributor.authorFinin, Tim
dc.date.accessioned2018-11-01T17:00:34Z
dc.date.available2018-11-01T17:00:34Z
dc.date.issued2014-10-22
dc.description10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom 2014)en_US
dc.description.abstractCommunity Health Workers (CHWs) act as liaisons between health-care providers and patients in underserved or un-served areas. However, the lack of information sharing and training support impedes the effectiveness of CHWs and their ability to correctly diagnose patients. In this paper, we propose and describe a system for mobile and wearable computing devices called Rafiki which assists CHWs in decision making and facilitates collaboration among them. Rafiki can infer possible diseases and treatments by representing the diseases, their symptoms, and patient context in OWL ontologies and by reasoning over this model. The use of semantic representation of data makes it easier to share knowledge related to disease, symptom, diagnosis guidelines, and patient demography, between various personnel involved in health-care (e.g., CHWs, patients, health-care providers). We describe the Rafiki system with the help of a motivating community health-care scenario and present an Android prototype for smart phones and Google Glass.en_US
dc.description.sponsorshipWe would like to thank Dr. Manjari Joshi and Dr. Michael Grasso for their technical support regarding community healthcare and the diagnostic process, respectively. This research work was supported by the NSF grants 0910838 and 1228673 and the CICYT projects TIN2010-21387-C02-02, TIN2013- 46238-C4-4-R, and DGA-FSE.en_US
dc.description.urihttps://ieeexplore.ieee.org/document/7014578en_US
dc.format.extent10 pagesen_US
dc.genreconference papers and proceedingsen_US
dc.genrepreprints
dc.identifierdoi:10.13016/M2WS8HQ66
dc.identifier.citationPrimal Pappachan, Roberto Yus, Anupam Joshi, and Tim Finin, Rafiki: A Semantic and Collaborative Approach to Community Health-care in Underserved Areas, 10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing ,2014, DOI: 10.4108/icst.collaboratecom.2014.257299en_US
dc.identifier.uri10.4108/icst.collaboratecom.2014.257299
dc.identifier.urihttp://hdl.handle.net/11603/11829
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Student Collection
dc.rights© 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
dc.subjectCollaboration in health-careen_US
dc.subjectmobile healthen_US
dc.subjectmedical diagnosisen_US
dc.subjectSemantic Weben_US
dc.subjectreasoningen_US
dc.subjectcommunity health-careen_US
dc.subjectUMBC Ebiquity Research Groupen_US
dc.titleRafiki: A Semantic and Collaborative Approach to Community Health-care in Underserved Areasen_US
dc.typeTexten_US
dcterms.creatorhttps://orcid.org/0000-0002-9475-8132
dcterms.creatorhttps://orcid.org/0000-0002-9311-954X
dcterms.creatorhttps://orcid.org/0000-0002-8641-3193
dcterms.creatorhttps://orcid.org/0000-0002-6593-1792

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