Need of informatics in designing interoperable clinical registries.
Need of informatics in designing interoperable clinical registries.
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DOI：
10.1016/j.ijmedinf.2017.10.004
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发表时间：
2017-12
影响因子：
4.9
通讯作者：
Liu H
中科院分区：
文献类型：
--
作者：
Rastegar-Mojarad M;Sohn S;Wang L;Shen F;Bleeker TC;Cliby WA;Liu H
临床登记的目的是收集与研究或质量改进有关的特定条件的信息。直观地说，数据管理和提取领域的信息学在临床登记中起着中心作用。由于缺乏信息学意识或专业知识等各种原因，在设计临床登记时可能很少涉及信息学。在本文中，我们从两个关键的角度研究了临床注册，数据质量和互操作性，其中信息学可以发挥作用。我们通过将注册表中使用的数据元素和值集映射到标准化术语SNOMED-CT，对现有注册表妇科外科注册表的这两个方面进行了评估。结果表明，大多数值是ad-hoc的，注册表中的91个过程中只有6个可以映射到SNOMED-CT。为了解决这个问题，我们评估了自动化数据抽象过程的可行性，通过训练机器学习分类器，基于现有的手动提取的数据。这些分类器达到了合理的平均f值0.94。我们得出结论，需要更多的信息学参与来改进注册中心的互操作性、可重用性和质量。
Clinical registries are designed to collect information relating to a particular condition for research or quality improvement. Intuitively, informatics in the area of data management and extraction plays a central role in clinical registries. Due to various reasons such as lack of informatics awareness or expertise, there may be little informatics involvement in designing clinical registries. In this paper, we studied a clinical registry from two critical perspectives, data quality and interoperability, where informatics can play a role. We evaluated these two aspects of an existing registry, Gynecology Surgery Registry, by mapping data elements and value sets, used in the registry, to a standardized terminology, SNOMED-CT. The results showed that majority of the values are ad-hoc and only 6 of 91 procedures in the registry could be mapped to the SNOMED-CT. To tackle this issue, we assessed the feasibility of automated data abstraction process, by training machine learning classifiers, based on existing manually extracted data. These classifiers achieved a reasonable average F-measure of 0.94. We concluded that more informatics engagement is needed to improve the interoperability, reusability, and quality of the registry.
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