Centre for Digital Transformation, School of Computing and Information Technology, Faculty of Engineering and Information Sciences, University of Wollongong, Wollongong, Australia.
Stud Health Technol Inform. 2024 Jan 25;310:1478-1479. doi: 10.3233/SHTI231253.
This study proposes an ontology model to represent the surgical pathways for appendicectomy, incorporating domain knowledge extracted from literature and electronic records in an Australian health district. The ontology comprised 108 concepts and 81 object properties. The model is useful for continuous quality improvement initiatives, i.e., process mining to understand what happens in the hospital versus what is required by the policy.
本研究提出了一个本体模型,用于表示阑尾切除术的手术路径,该模型整合了从澳大利亚一个卫生区的文献和电子记录中提取的领域知识。本体包含 108 个概念和 81 个对象属性。该模型可用于持续质量改进计划,例如,通过流程挖掘了解医院中实际发生的情况与政策要求之间的差异。