A bottom-up approach to creating an ontology for medication indications.
A bottom-up approach to creating an ontology for medication indications.
复制标题
创建药物适应症本体的自下而上的方法。
DOI：
10.1093/jamia/ocaa331
复制
发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Tuttle,MarkS
中科院分区：
文献类型：
--
作者：
Nelson,StuartJ;Flynn,Allen;Tuttle,MarkS
ObjectivesThe研究旨在了解是否有可能开发一个本体，这将使食品和药物管理局批准的适应症，以可计算的方式表示，并表示在电子healthrecords.Materials和MethodsA随机抽样1177的3000+现存的，不同的医疗产品（确定独特的新药申请编号）被选中进行调查。这些药物的标签的适应症部分的密切手动检查导致了一个正式的modelofindications.ResultsThe模型的发展代表每个叙述性的迹象作为一个分离的关于个人的断言的连接词。一个理想的属性是，关于个体的每个断言都应该是可测试的，而不需要参考关于情境的其他上下文信息。逻辑原语从2个类别（上下文和条件）中选择，并链接到使用的枚举，例如预防。我们发现，超过99%的批准标签适应症的治疗或预防可以这样represented.DiscussionWhile一些适应症是直接代表，困难源于需要代表时间或顺序参考。此外，电子健康记录中的术语与标签叙述中的术语不匹配。结论正式确定药物适应症的可行模型是可能的。剩下的挑战包括设计工作流程，为所有获批药品的叙述性标签适应症建模，并纳入标准词汇表。
ObjectivesThe study sought to learn if it were possible to develop an ontology that would allow the Food and Drug Administration approved indications to be expressed in a manner computable and comparable to what is expressed in an electronic health record.Materials and MethodsA random sample of 1177 of the 3000+ extant, distinct medical products (identified by unique new drug application numbers) was selected for investigation. Close manual examination of the indication portion of the labels for these drugs led to the development of a formal model of indications.ResultsThe model represents each narrative indication as a disjunct of conjuncts of assertions about an individual. A desirable attribute is that each assertion about an individual should be testable without reference to other contextual information about the situation. The logical primitives are chosen from 2 categories (context and conditions) and are linked to an enumeration of uses, such as prevention. We found that more than 99% of approved label indications for treatment or prevention could be so represented.DiscussionWhile some indications are straightforward to represent, difficulties stem from the need to represent temporal or sequential references. In addition, there is a mismatch of terminologies between what is present in an electronic health record and in the label narrative.ConclusionsA workable model for formalizing drug indications is possible. Remaining challenges include designing workflow to model narrative label indications for all approved drug products and incorporation of standard vocabularies.