Division of Nursing Research, Department of Nursing, Mayo Clinic, Rochester, Minnesota, USA.
Department of Artificial Intelligence & Informatics, Mayo Clinic, Rochester, Minnesota, USA.
J Am Med Inform Assoc. 2023 Oct 19;30(11):1865-1867. doi: 10.1093/jamia/ocad095.
Nursing and informatics share a common strength in their use of structured representations of domains, specifically the underlying notion of 'things' (ie, concepts, constructs, or named entities) and the relationships among those things. Accurate representation of nursing knowledge in machine-interpretable formats is a necessary next step for leveraging contemporary technologies. Expressing validated nursing theories in ontologies, and in particular formal ontologies, would serve not only nursing, but also investigators from other domains, clinical information system developers, and the users of advanced technologies such as artificial intelligence that seek to learn from the real-world data and evidence generated by nurses and others. Such efforts will enable sharing knowledge and conceptualizations about phenomena across the domains of nursing and generating, testing, revising, and providing theoretically-based perspectives when leveraging contemporary technologies. Nursing is well situated for this work, leveraging intentional and focused collaborations among nurse informaticists, scientists, and theorists.
护理和信息学在使用领域的结构化表示方面具有共同的优势,特别是关于“事物”(即概念、结构或命名实体)及其之间关系的基本概念。以机器可解释的格式准确表示护理知识是利用现代技术的必要下一步。将经过验证的护理理论表达为本体,特别是形式本体,不仅将有益于护理领域,也有益于来自其他领域的研究人员、临床信息系统开发人员以及人工智能等高级技术的用户,这些技术试图从护士和其他人生成的真实世界数据和证据中学习。这些努力将使护理和其他领域能够共享有关现象的知识和概念化,并在利用现代技术时生成、测试、修改和提供基于理论的观点。护理在这项工作中具有优势,可以利用护士信息学家、科学家和理论家之间的有目的和有重点的合作。