Amith Muhammad Tuan, He Yongqun, Smith Elise, Harris Marceline, Manion Frank, Tao Cui
University of Texas Medical Branch, Galveston, Texas.
AMIA Jt Summits Transl Sci Proc. 2025 Jun 10;2025:46-55. eCollection 2025.
We developed a simulated process to show a software implementation to facilitate an approach to integrate the Informed Consent Ontology, a reference ontology of informed consent information, to express implicit description and implement conceptual permission from informed consent life cycle. An early study introduced an experimental method to use Semantic Web Rule Language (SWRL) to describe and represent permissions to computational deduce more information from the Informed Consent Ontology (ICO), demonstrated by the use of the All of Us informed consent documents. We show how incomplete information in informed consent documents can be elucidated using a computational model of permissions toward health information technology that integrates ontologies. Future goals entail applying our computational approach for specific sub-domains of the informed consent life cycle, specifically for vaccine informed consent.
我们开发了一个模拟过程，以展示一种软件实现方式，便于将知情同意本体（一种知情同意信息的参考本体）整合进来，从而表达隐性描述并实现来自知情同意生命周期的概念性许可。一项早期研究引入了一种实验方法，即使用语义网规则语言（SWRL）来描述和表示许可，以便从知情同意本体（ICO）中通过计算推导更多信息，这在“我们所有人”知情同意文件的使用中得到了证明。我们展示了如何使用整合本体的健康信息技术许可计算模型来阐明知情同意文件中的不完整信息。未来的目标是将我们的计算方法应用于知情同意生命周期的特定子领域，特别是疫苗知情同意领域。
