README: Bridging Medical Jargon and Lay Understanding for Patient Education through Data-Centric NLP

arXiv:2312.15561v2 Announce Type: replace
Abstract: The advancement in healthcare has shifted focus toward patient-centric approaches, particularly in self-care and patient education, facilitated by access to Electronic Health Records (EHR). However, medical jargon in EHRs poses significant challenges in patient comprehension. To address this, we introduce a new task of automatically generating lay definitions, aiming to simplify complex medical terms into patient-friendly lay language. We first created the README dataset, an extensive collection of over 50,000 unique (medical term, lay definition) …

abstract access advancement arxiv challenges cs.ai cs.cl data data-centric education ehr electronic electronic health records focus health healthcare however jargon medical nlp patient readme records through type understanding