Incorporating Personalization Features in a Hospital-Stay Summary Generation System

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dc.contributor.authorAcharya, Sabita
dc.contributor.authorBoyd, Andrew D.
dc.contributor.authorCameron, Richard
dc.contributor.authorLopez, Karen Dunn
dc.contributor.authorMartyn-Nemeth, Pamela
dc.contributor.authorDickens, Carolyn
dc.contributor.authorArdati, Amer
dc.contributor.authorDi Eugenio, Barbara
dc.date.accessioned2019-01-03T00:24:06Z
dc.date.available2019-01-03T00:24:06Z
dc.date.issued2019-01-08
dc.description.abstractMost of the currently available health resources contain vast amount of information that are created by keeping the “general” population in mind, which in reality, might not be useful for anyone. One approach to providing comprehensible health information to patients is to generate summaries that are personalized to each individual. This paper details the design of a personalized hospital-stay summary generation system that tailors its content to the patient’s understanding of medical terminologies and their level of engagement in improving their own health. Our summaries were found to cover around 80% of the health concepts that were considered as important by a doctor or a nurse. An online survey conducted on 150 participants verified that our algorithm’s interpretation of the personalization parameters is representative of that of a larger population.
dc.format.extent10 pages
dc.identifier.doi10.24251/HICSS.2019.505
dc.identifier.isbn978-0-9981331-2-6
dc.identifier.urihttp://hdl.handle.net/10125/59855
dc.language.isoeng
dc.relation.ispartofProceedings of the 52nd Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectPersonal Health and Wellness Management with Technologies
dc.subjectInformation Technology in Healthcare
dc.subjectHospitalization summaries, Natural Language Generation, Patient-friendly content, Personalization, Simplification
dc.titleIncorporating Personalization Features in a Hospital-Stay Summary Generation System
dc.typeConference Paper
dc.type.dcmiText

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