生物医学信息学研究员。
Biomedical Informatics Investigator.
作者信息
Elkin Peter L, Mullin Sarah, Sakilay Sylvester
机构信息
Department of Biomedical Informatics, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, SUNY, New York, USA.
出版信息
Stud Health Technol Inform. 2018;255:195-199.
The BMI Investigator is a computer human interface built in .Net which allows simultaneous query of structured data such as demographics, administrative codes, medications (coded in RxNorm), laboratory test results (coded in LOINC) and formerly unstructured data in clinical notes (coded in SNOMED CT). The ontology terms identified using SNOMED are all coded as either positive, negative or uncertain assertions. They are then where applicable built into compositional expressions and stored in both a graph database and a triple store. The SNOMED CT codes are stored in a NOSQL database, Berkley DB, and the structured data is stored in SQL using the OMOP/OHDSI format. The BMI investigator also lets you develop models for cohort selection (data driven recruitment to clinical trials) and automated retrospective research using genomic criteria and we are adding image feature data currently to the system. We performed a usability experiment and the users identified some usability flaws which were used to improve the software. Overall, the BMI Investigator was felt to be usable by subject matter experts. Next steps for the software are to integrate genomic criteria and image features into the query engine.
BMI 调查器是一个用.NET 构建的计算机人机界面，它允许同时查询结构化数据，如人口统计学数据、管理代码、药物（用 RxNorm 编码）、实验室检测结果（用 LOINC 编码）以及临床笔记中以前的非结构化数据（用 SNOMED CT 编码）。使用 SNOMED 识别的本体术语都被编码为肯定、否定或不确定断言。然后，在适用的情况下，它们被构建为组合表达式，并存储在图形数据库和三元组存储中。SNOMED CT 代码存储在一个非关系型数据库 Berkeley DB 中，结构化数据则使用 OMOP/OHDSI 格式存储在 SQL 中。BMI 调查器还允许你开发用于队列选择的模型（数据驱动的临床试验招募）以及使用基因组标准进行自动化回顾性研究，并且我们目前正在将图像特征数据添加到系统中。我们进行了一项可用性实验，用户识别出了一些可用性缺陷，这些缺陷被用于改进软件。总体而言，主题专家认为 BMI 调查器是可用的。该软件的下一步是将基因组标准和图像特征集成到查询引擎中。
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