| Literature DB >> 35415420 |
Sabita Acharya1, Andrew D Boyd2, Richard Cameron3, Karen Dunn Lopez2, Pamela Martyn-Nemeth4, Carolyn Dickens4, Amer Ardati5, Jose D Flores6, Matt Baumann6, Betty Welland6, Barbara Di Eugenio1.
Abstract
Comprehending medical information is a challenging task, especially for people who have not received formal medical education. When patients are discharged from the hospital, they are provided with lengthy medical documents that contain intricate terminologies. Studies have shown that if people do not understand the content of their health documents, they will neither look for new information regarding their illness nor will they take actions to prevent or recover from their health issue. In this article, we highlight the need for generating personalized hospital-stay summaries and several research challenges associated with this task. The proposed directions are directly informed by our ongoing work in generating concise and comprehensible hospitalization summaries that are tailored to suit the patient's understanding of medical terminologies and level of engagement in improving their own health. Our preliminary evaluation shows that our summaries effectively present required medical concepts. © Springer Nature Switzerland AG 2018.Entities:
Keywords: Discharge summaries; Natural language generation; Patient-centric information; Personalization; Simplification
Year: 2018 PMID: 35415420 PMCID: PMC8982693 DOI: 10.1007/s41666-018-0036-7
Source DB: PubMed Journal: J Healthc Inform Res ISSN: 2509-498X