Conference proceeding
Incorporating Personalization Features in a Hospital-Stay Summary Generation System
Proceedings of the 52nd Annual Hawaii International Conference on System Sciences, pp.4175-4184
01/01/2019
Abstract
Most 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.
Details
- Title: Subtitle
- Incorporating Personalization Features in a Hospital-Stay Summary Generation System
- Creators
- Sabita Acharya - Univ Illinois, Chicago, IL 60607 USAAndrew D. Boyd - Univ Illinois, Chicago, IL 60607 USARichard Cameron - Univ Illinois, Chicago, IL 60607 USAKaren Dunn Lopez - University of Illinois Urbana-ChampaignPamela Martyn-Nemeth - Univ Illinois, Chicago, IL 60607 USACarolyn Dickens - Univ Illinois, Chicago, IL 60607 USAAmer Ardati - Univ Illinois, Chicago, IL 60607 USABarbara Di Eugenio - Univ Illinois, Chicago, IL 60607 USA
- Contributors
- T X Bui (Editor)
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings of the 52nd Annual Hawaii International Conference on System Sciences, pp.4175-4184
- Publisher
- HICSS
- Number of pages
- 10
- Language
- English
- Date published
- 01/01/2019
- Academic Unit
- Nursing
- Record Identifier
- 9984370648002771
Metrics
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