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孕产妇知识库的实现。

Implementation of a Maternal Child Knowledgebase.

机构信息

University of Iowa, Iowa City, IA.

出版信息

AMIA Jt Summits Transl Sci Proc. 2022 May 23;2022:432-438. eCollection 2022.

Abstract

To advance the application of clinical data to address maternal health we developed and implemented a Maternal Child Knowledgebase (MCK). The MCK integrates data from every pregnancy that received care at the University of Iowa Hospitals & Clinics (UIHC) and links information from the pregnancy episode to the delivery episode and between the mother and child. This knowledgebase contains integrated information regarding diagnoses, medications, mother and child vitals, hospital admissions, depression screenings, laboratory value results, and procedure information. It also collates information from the electronic health record (EPIC), the Social Security Death Index, and the Medication Administration Record into one knowledgebase. To enhance usability, we designed a custom viewer with several pre-designed queries and reports that eliminates the need for users to be proficient in SQL coding. The recent implementation of the MCK has supported multiple projects and reduced the number of Obstetrics-related data queries to the Biomedical Informatics group.

摘要

为了推进临床数据在解决孕产妇健康问题方面的应用,我们开发并实施了一个母婴知识库(MCK)。MCK 整合了在爱荷华大学医院和诊所(UIHC)接受治疗的每一次妊娠的数据,并将妊娠事件的信息与分娩事件以及母婴之间的信息联系起来。该知识库包含有关诊断、药物、母婴生命体征、住院、抑郁筛查、实验室值结果和手术信息的综合信息。它还将电子健康记录(EPIC)、社会保障死亡指数和药物管理记录中的信息合并到一个知识库中。为了提高可用性,我们设计了一个带有几个预设计查询和报告的自定义查看器,使用户无需精通 SQL 编码。MCK 的最近实施支持了多个项目,并减少了生物医学信息学组对与妇产科相关的数据查询的数量。

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