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使基于FHIR的患者数据与基于FHIR的资格标准相匹配。

Striking a match between FHIR-based patient data and FHIR-based eligibility criteria.

作者信息

Alper Brian S, Dehnbostel Joanne, Shahin Khalid, Ojha Neeraj, Khanna Gopal, Tignanelli Christopher J

机构信息

Computable Publishing LLC Ipswich Massachusetts USA.

Scientific Knowledge Accelerator Foundation Ipswich Massachusetts USA.

出版信息

Learn Health Syst. 2023 Apr 18;7(4):e10368. doi: 10.1002/lrh2.10368. eCollection 2023 Oct.

DOI:10.1002/lrh2.10368
PMID:37860063
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10582208/
Abstract

INPUTS AND OUTPUTS

The Strike-a-Match Function, written in JavaScript version ES6+, accepts the input of two datasets (one dataset defining eligibility criteria for research studies or clinical decision support, and one dataset defining characteristics for an individual patient). It returns an output signaling whether the patient characteristics are a match for the eligibility criteria.

PURPOSE

Ultimately, such a system will play a "matchmaker" role in facilitating point-of-care recognition of patient-specific clinical decision support.

SPECIFICATIONS

The eligibility criteria are defined in HL7 FHIR (version R5) EvidenceVariable Resource JSON structure. The patient characteristics are provided in an FHIR Bundle Resource JSON including one Patient Resource and one or more Observation and Condition Resources which could be obtained from the patient's electronic health record.

APPLICATION

The Strike-a-Match Function determines whether or not the patient is a match to the eligibility criteria and an Eligibility Criteria Matching Software Demonstration interface provides a human-readable display of matching results by criteria for the clinician or patient to consider. This is the first software application, serving as proof of principle, that compares patient characteristics and eligibility criteria with all data exchanged using HL7 FHIR JSON. An Eligibility Criteria Matching Software Library at https://fevir.net/110192 provides a method for sharing functions using the same information model.

摘要

输入与输出

用ES6+版本的JavaScript编写的“擦火柴功能”接受两个数据集的输入(一个数据集定义研究或临床决策支持的资格标准,另一个数据集定义个体患者的特征)。它返回一个输出,表明患者特征是否符合资格标准。

目的

最终,这样一个系统将在促进即时医疗中对特定患者的临床决策支持的识别方面发挥“媒人”的作用。

规格

资格标准在HL7 FHIR(版本R5)证据变量资源JSON结构中定义。患者特征在一个FHIR束资源JSON中提供,该JSON包括一个患者资源以及一个或多个可从患者电子健康记录中获取的观察和病症资源。

应用

“擦火柴功能”确定患者是否符合资格标准,并且一个资格标准匹配软件演示界面为临床医生或患者提供按标准显示的匹配结果的可读展示,供其参考。这是第一个作为原理证明的软件应用程序,它使用HL7 FHIR JSON交换的所有数据来比较患者特征和资格标准。https://fevir.net/110192上的资格标准匹配软件库提供了一种使用相同信息模型共享功能的方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b7e7/10582208/10e2e8643df0/LRH2-7-e10368-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b7e7/10582208/10e2e8643df0/LRH2-7-e10368-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b7e7/10582208/10e2e8643df0/LRH2-7-e10368-g001.jpg

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Design and validation of a FHIR-based EHR-driven phenotyping toolbox.基于 FHIR 的 EHR 驱动表型工具包的设计与验证。
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