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路径语言：FHIR 分析。

Pathling: analytics on FHIR.

机构信息

Australian e-Health Research Centre, CSIRO, Level 7, Surgical Treatment and Rehabilitation Service (STARS), Royal Brisbane and Women's Hospital, Herston, 4029, Queensland, Australia.

出版信息

J Biomed Semantics. 2022 Sep 8;13(1):23. doi: 10.1186/s13326-022-00277-1.

DOI:10.1186/s13326-022-00277-1
PMID:36076268
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9455941/
Abstract

BACKGROUND

Health data analytics is an area that is facing rapid change due to the acceleration of digitization of the health sector, and the changing landscape of health data and clinical terminology standards. Our research has identified a need for improved tooling to support analytics users in the task of analyzing Fast Healthcare Interoperability Resources (FHIR) data and associated clinical terminology.

RESULTS

A server implementation was developed, featuring a FHIR API with new operations designed to support exploratory data analysis (EDA), advanced patient cohort selection and data preparation tasks. Integration with a FHIR Terminology Service is also supported, allowing users to incorporate knowledge from rich terminologies such as SNOMED CT within their queries. A prototype user interface for EDA was developed, along with visualizations in support of a health data analysis project.

CONCLUSIONS

Experience with applying this technology within research projects and towards the development of analytics-enabled applications provides a preliminary indication that the FHIR Analytics API pattern implemented by Pathling is a valuable abstraction for data scientists and software developers within the health care domain. Pathling contributes towards the value proposition for the use of FHIR within health data analytics, and assists with the use of complex clinical terminologies in that context.

摘要

背景

由于医疗保健领域数字化的加速以及医疗数据和临床术语标准的不断变化，健康数据分析领域正面临着快速变革。我们的研究发现，需要改进工具，以支持分析人员分析 Fast Healthcare Interoperability Resources（FHIR）数据和相关临床术语。

结果

开发了一个服务器实现，具有 FHIR API，其中包含新的操作，旨在支持探索性数据分析（EDA）、高级患者队列选择和数据准备任务。还支持与 FHIR 术语服务集成，允许用户在查询中纳入来自丰富术语（如 SNOMED CT）的知识。还开发了用于 EDA 的原型用户界面，以及支持健康数据分析项目的可视化。

结论

在研究项目中应用这项技术以及针对分析型应用程序的开发方面的经验初步表明，Pathling 实现的 FHIR 分析 API 模式是医疗保健领域的数据科学家和软件开发人员的有价值的抽象。Pathling 为在健康数据分析中使用 FHIR 提供了价值主张，并在该上下文中帮助使用复杂的临床术语。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7cb0/9461195/c9bdda9a3bba/13326_2022_277_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7cb0/9461195/b6839395b5d3/13326_2022_277_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7cb0/9461195/ff740897f7c2/13326_2022_277_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7cb0/9461195/1baf7598f643/13326_2022_277_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7cb0/9461195/0019c984cc4c/13326_2022_277_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7cb0/9461195/2f0755bb1f86/13326_2022_277_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7cb0/9461195/b5d65a99b324/13326_2022_277_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7cb0/9461195/c9bdda9a3bba/13326_2022_277_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7cb0/9461195/b6839395b5d3/13326_2022_277_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7cb0/9461195/ff740897f7c2/13326_2022_277_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7cb0/9461195/1baf7598f643/13326_2022_277_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7cb0/9461195/0019c984cc4c/13326_2022_277_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7cb0/9461195/2f0755bb1f86/13326_2022_277_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7cb0/9461195/b5d65a99b324/13326_2022_277_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7cb0/9461195/c9bdda9a3bba/13326_2022_277_Fig7_HTML.jpg

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Push Button Population Health: The SMART/HL7 FHIR Bulk Data Access Application Programming Interface.
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Healthcare (Basel). 2023 Jun 13;11(12):1729. doi: 10.3390/healthcare11121729.
按钮式人群健康：SMART/HL7 FHIR批量数据访问应用程序编程接口
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The Use of FHIR in Digital Health - A Review of the Scientific Literature.FHIR在数字健康中的应用——科学文献综述。
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