University of Portsmouth.
University of Wales Trinity Saint David.
Stud Health Technol Inform. 2022 Aug 31;298:92-96. doi: 10.3233/SHTI220914.
Computable knowledge artefact development is challenging and often culminates in the development of unique single usage solutions. Libraries of computable knowledge artefacts have the possibility to enhance the Learning Health System in order to improve the benefits of innovation and the decision making of clinicians. This paper aims to discuss the process of creating the use cases and the tutorial material that would enable students to both understand how the interaction between the dataset and the outcome occurs as well as how HL7 Clinical Quality Language can be used to create artefacts of re-usable code.
可计算知识人工制品的开发具有挑战性,通常最终会开发出独特的单一用途解决方案。可计算知识人工制品库有可能增强学习健康系统,以提高创新的效益和临床医生的决策能力。本文旨在讨论创建用例和教程材料的过程,使学生既能理解数据集和结果之间的交互方式,又能理解如何使用 HL7 临床质量语言来创建可重复使用代码的人工制品。