Incorporating Personalization Features in a Hospital-Stay Summary Generation System
Sabita Acharya, Andrew Dallas Boyd, Richard Cameron, Karen Dunn Lopez, Pamela A. Martyn-Nemeth, Carolyn Dickens, Amer Kasim Ardati, Barbara Di Eugenio · Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences · 2019
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.