Lenivtceva Iuliia D, Kopanitsa Georgy
National Center for Cognitive Technologies, ITMO University, Saint Petersburg, Russia.
Methods Inf Med. 2019 Nov;58(4-05):151-159. doi: 10.1055/s-0040-1702154. Epub 2020 Mar 13.
Evaluating potential data losses from mapping proprietary medical data formats to standards is essential for decision making. The article implements a method to evaluate the preliminary content overlap of proprietary medical formats, including national terminologies and Fast Healthcare Interoperability Resources (FHIR)-international medical standard.
Three types of mappings were evaluated in the article: proprietary format matched to FHIR, national terminologies matched to the FHIR mappings, and concepts from national terminologies matched to Systematized Nomenclature of Medicine-Clinical Terms (SNOMED CT). We matched attributes of the formats with FHIR definitions and calculated content overlap.
The article reports the results of a manual mapping between a proprietary medical format and the FHIR standard. The following results were obtained: 81% of content overlap for the proprietary format to FHIR mapping, 88% of content overlap for the national terminologies to FHIR mapping, and 98.6% of concepts matching can be reached from national terminologies to SNOMED CT mapping. Twenty tables from the proprietary format and 20 dictionaries were matched with FHIR resources; nine dictionaries were matched with SNOMED CT concepts.
Mapping medical formats is a challenge. The obtained overlaps are promising in comparison with the investigated results. The study showed that standardization of data exchange between proprietary formats and FHIR is possible in Russia, and national terminologies can be used in FHIR-based information systems.
评估将专有医学数据格式映射到标准时潜在的数据损失对于决策至关重要。本文实施了一种方法来评估专有医学格式（包括国家术语和快速医疗保健互操作性资源（FHIR）——国际医学标准）的初步内容重叠情况。
本文评估了三种类型的映射：专有格式与FHIR匹配、国家术语与FHIR映射匹配，以及国家术语中的概念与医学系统化命名法——临床术语（SNOMED CT）匹配。我们将格式的属性与FHIR定义进行匹配，并计算内容重叠情况。
本文报告了专有医学格式与FHIR标准之间手动映射的结果。获得了以下结果：专有格式到FHIR映射的内容重叠率为81%，国家术语到FHIR映射的内容重叠率为88%，国家术语到SNOMED CT映射的概念匹配率可达98.6%。专有格式的20个表格和20个词典与FHIR资源进行了匹配；9个词典与SNOMED CT概念进行了匹配。
映射医学格式是一项挑战。与调查结果相比，所获得的重叠情况很有前景。该研究表明，在俄罗斯，专有格式与FHIR之间的数据交换标准化是可行的，并且国家术语可用于基于FHIR的信息系统。
