Incorporating Personalization Features in a Hospital-Stay Summary Generation System
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Date
2019-01-08
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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.
Description
Keywords
Personal Health and Wellness Management with Technologies, Information Technology in Healthcare, Hospitalization summaries, Natural Language Generation, Patient-friendly content, Personalization, Simplification
Citation
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10 pages
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Related To
Proceedings of the 52nd Hawaii International Conference on System Sciences
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Attribution-NonCommercial-NoDerivatives 4.0 International
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