在基于FHIR的患者数据和基于FHIR的资格标准之间进行匹配

IF 2.6 Q2 HEALTH POLICY & SERVICES Learning Health Systems Pub Date : 2023-04-18 DOI:10.1002/lrh2.10368
Brian S. Alper, Joanne Dehnbostel, Khalid Shahin, Neeraj Ojha, Gopal Khanna, Christopher J. Tignanelli
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引用次数: 0

摘要

输入和输出:Strike-a-Match函数用JavaScript版本ES6+编写,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,另一个数据集定义单个患者的特征)。它返回一个输出,表示患者的特征是否符合资格标准。目的:最终,这样的系统将发挥“媒人”的作用,促进护理点识别患者特定的临床决策支持。规范: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FHIR Bundle Resource JSON中提供,包括一个患者资源和一个或多个观察和条件资源,这些资源可以从患者的电子健康记录中获得。应用:Strike-a-Match功能确定患者是否符合资格标准,资格标准匹配软件演示界面提供了一个人类可读的显示匹配结果的标准,供临床医生或患者考虑。这是第一个软件应用程序,作为原理证明,将患者特征和资格标准与使用HL7 FHIR JSON交换的所有数据进行比较。https://fevir.net/110192上的资格标准匹配软件库提供了使用相同信息模型共享功能的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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

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.

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来源期刊
Learning Health Systems
Learning Health Systems HEALTH POLICY & SERVICES-
CiteScore
5.60
自引率
22.60%
发文量
55
审稿时长
20 weeks
期刊最新文献
Issue Information Envisioning public health as a learning health system Thanks to our peer reviewers Learning health systems to implement chronic disease prevention programs: A novel framework and perspectives from an Australian health service The translation-to-policy learning cycle to improve public health
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