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风险评分与电子病历中的整合能力。

Integration of Risk Scores and Integration Capability in Electronic Patient Records.

机构信息

Faculty of Medicine, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.

Universitätsklinikum Erlangen, Erlangen, Germany.

出版信息

Appl Clin Inform. 2022 Aug;13(4):828-835. doi: 10.1055/s-0042-1756367. Epub 2022 Sep 7.

Abstract

BACKGROUND

Digital availability of patient data is continuously improving with the increasing implementation of electronic patient records in physician practices. The emergence of digital health data defines new fields of application for data analytics applications, which in turn offer extensive options of using data. Common areas of data analytics applications include decision support, administration, and fraud detection. Risk scores play an important role in compiling algorithms that underlay tools for decision support.

OBJECTIVES

This study aims to identify the current state of risk score integration and integration capability in electronic patient records for cardiovascular disease and diabetes in German primary care practices.

METHODS

We developed an evaluation framework to determine the current state of risk score integration and future integration options for four cardiovascular disease risk scores (arriba, Pooled Cohort Equations, QRISK3, and Systematic Coronary Risk Evaluation) and two diabetes risk scores (Finnish Diabetes Risk Score and German Diabetes Risk Score). We then used this framework to evaluate the integration of risk scores in common practice software solutions by examining the software and inquiring the respective software contact person.

RESULTS

Our evaluation showed that the most widely integrated risk score is arriba, as recommended by German medical guidelines. Every software version in our sample provided either an interface to arriba or the option to implement one. Our assessment of integration capability revealed a more nuanced picture. Results on data availability were mixed. Each score contains at least one variable, which requires laboratory diagnostics. Our analysis of data standardization showed that only one score documented all variables in a standardized way.

CONCLUSION

Our assessment revealed that the current state of risk score integration in physician practice software is rather low. Integration capability currently faces some obstacles. Future research should develop a comprehensive framework that considers the reasonable integration of risk scores into practice workflows, disease prevention programs, and the awareness of physicians and patients.

摘要

背景

随着电子患者病历在医生诊所中的不断普及,患者数据的数字化可用性不断提高。数字健康数据的出现定义了数据分析应用的新领域,而数据分析应用反过来又提供了广泛的数据使用选项。数据分析应用的常见领域包括决策支持、管理和欺诈检测。风险评分在编译用于决策支持工具的算法方面起着重要作用。

目的

本研究旨在确定德国初级保健实践中心血管疾病和糖尿病的电子患者记录中风险评分整合和整合能力的现状。

方法

我们开发了一个评估框架,以确定四种心血管疾病风险评分(arriba、Pooled Cohort Equations、QRISK3 和 Systematic Coronary Risk Evaluation)和两种糖尿病风险评分(Finnish Diabetes Risk Score 和 German Diabetes Risk Score)的风险评分整合的现状和未来整合选项。然后,我们通过检查软件并询问各自的软件联系人,使用该框架评估常见实践软件解决方案中的风险评分整合。

结果

我们的评估表明,arriba 是最广泛集成的风险评分,这是德国医学指南推荐的。我们样本中的每个软件版本都提供了与 arriba 的接口或实现的选项。我们对整合能力的评估显示出更为细致的情况。关于数据可用性的结果参差不齐。每个评分至少包含一个需要实验室诊断的变量。我们对数据标准化的分析表明,只有一个评分以标准化的方式记录了所有变量。

结论

我们的评估表明,目前医生实践软件中的风险评分整合状态相当低。整合能力目前面临一些障碍。未来的研究应该开发一个全面的框架,考虑将风险评分合理地整合到实践工作流程、疾病预防计划以及医生和患者的意识中。

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