Rafiki: A Semantic and Collaborative Approach to Community Health-care in Underserved Areas
dc.contributor.author | Pappachan, Primal | |
dc.contributor.author | Yus, Roberto | |
dc.contributor.author | Joshi, Anupam | |
dc.contributor.author | Finin, Tim | |
dc.date.accessioned | 2018-11-01T17:00:34Z | |
dc.date.available | 2018-11-01T17:00:34Z | |
dc.date.issued | 2014-10-22 | |
dc.description | 10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom 2014) | en_US |
dc.description.abstract | Community 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.sponsorship | We 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.uri | https://ieeexplore.ieee.org/document/7014578 | en_US |
dc.format.extent | 10 pages | en_US |
dc.genre | conference papers and proceedings | en_US |
dc.genre | preprints | |
dc.identifier | doi:10.13016/M2WS8HQ66 | |
dc.identifier.citation | Primal 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.2014.257299 | en_US |
dc.identifier.uri | 10.4108/icst.collaboratecom.2014.257299 | |
dc.identifier.uri | http://hdl.handle.net/11603/11829 | |
dc.language.iso | en_US | en_US |
dc.publisher | IEEE | en_US |
dc.relation.isAvailableAt | The University of Maryland, Baltimore County (UMBC) | |
dc.relation.ispartof | UMBC Computer Science and Electrical Engineering Department Collection | |
dc.relation.ispartof | UMBC Faculty Collection | |
dc.relation.ispartof | UMBC 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.subject | Collaboration in health-care | en_US |
dc.subject | mobile health | en_US |
dc.subject | medical diagnosis | en_US |
dc.subject | Semantic Web | en_US |
dc.subject | reasoning | en_US |
dc.subject | community health-care | en_US |
dc.subject | UMBC Ebiquity Research Group | en_US |
dc.title | Rafiki: A Semantic and Collaborative Approach to Community Health-care in Underserved Areas | en_US |
dc.type | Text | en_US |
dcterms.creator | https://orcid.org/0000-0002-9475-8132 | |
dcterms.creator | https://orcid.org/0000-0002-9311-954X | |
dcterms.creator | https://orcid.org/0000-0002-8641-3193 | |
dcterms.creator | https://orcid.org/0000-0002-6593-1792 |