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When seeking information not covered in patient-friendly documents, likemedical pamphlets, healthcare consumers may turn to the research literature.Reading medical papers, however, can be a challenging experience. To improveaccess to medical papers, we introduce a novel interactive interface-PaperPlain-with four features powered by natural language processing: definitions ofunfamiliar terms, in-situ plain language section summaries, a collection of keyquestions that guide readers to answering passages, and plain languagesummaries of the answering passages. We evaluate Paper Plain, finding thatparticipants who use Paper Plain have an easier time reading and understandingresearch papers without a loss in paper comprehension compared to those who usea typical PDF reader. Altogether, the study results suggest that guidingreaders to relevant passages and providing plain language summaries, or"gists," alongside the original paper content can make reading medical paperseasier and give readers more confidence to approach these papers.

Paper Plain: Making Medical Research Papers Approachable to Healthcare Consumers with Natural Language Processing