专业医学出版物撰稿人在 AI/ML 环境中为通俗语言摘要 (PLS) 撰稿的挑战与机遇--消费者健康信息学系统综述。

AMIA ... Annual Symposium proceedings. AMIA Symposium Pub Date : 2024-01-11 eCollection Date: 2023-01-01
Holly R Tomlin, Michel Wissing, Sai Tanikella, Preetinder Kaur, Linda Tabas
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引用次数: 0

摘要

专业医学出版物撰稿人(PMWs)从事广泛的生物医学写作活动,最近包括将生物医学出版物翻译成通俗语言摘要(PLS)。消费者健康信息学(CHI)文献一直在描述将健康素养原则纳入任何旨在向非专业受众(尤其是患者)传达医疗信息的自然语言处理(NLP)应用程序的重要性。在这一逐步式系统综述中,我们搜索了 PubM 索引文献中基于 CHI NLP 的应用程序,这些应用程序有可能帮助 PMW 开发基于文本的 PLS。结果显示,现有的应用程序仅限于患者门户网站和其他用于交流医疗文本和电子健康记录报告的技术。项目管理人员可以应用从基于CHI NLP的应用程序中汲取的经验教训,监督开发专门用于简化和总结生物医学出版物中的PLS文本的工具。
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Challenges and Opportunities for Professional Medical Publications Writers to Contribute to Plain Language Summaries (PLS) in an AI/ML Environment - A Consumer Health Informatics Systematic Review.

Professional medical publications writers (PMWs) cover a wide range of biomedical writing activities that recently includes translation of biomedical publications to plain language summaries (PLS). The consumer health informatics literature (CHI) consistently describes the importance of incorporating health literacy principles in any natural language processing (NLP) app designed to communicate medical information to lay audiences, particularly patients. In this stepwise systematic review, we searched PubMed indexed literature for CHI NLP-based apps that have the potential to assist PMWs in developing text based PLS. Results showed that available apps are limited to patient portals and other technologies used to communicate medical text and reports from electronic health records. PMWs can apply the lessons learned from CHI NLP-based apps to supervise development of tools specific to text simplification and summarization for PLS from biomedical publications.

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