Design and architecture of the CARA infrastructure for visualising and benchmarking patient data from general practice.

IF 4.1 Q1 HEALTH CARE SCIENCES & SERVICES
Nathaly Garzón-Orjuela, Agustin Garcia Pereira, Heike Vornhagen, Katarzyna Stasiewicz, Sana Parveen, Doaa Amin, Lukasz Porwol, Mathieu d'Aquin, Claire Collins, Fintan Stanley, Mike O'Callaghan, Akke Vellinga
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引用次数: 0

Abstract

Objective: Collaborate, Analyse, Research and Audit (CARA) project set out to provide an infrastructure to enable Irish general practitioners (GPs) to use their routinely collected patient management software (PMS) data to better understand their patient population, disease management and prescribing through data dashboards. This paper explains the design and development of the CARA infrastructure.

Methods: The first exemplar dashboard was developed with GPs and focused on antibiotic prescribing to develop and showcase the proposed infrastructure. The data integration process involved extracting, loading and transforming de-identified patient data into data models which connect to the interactive dashboards for GPs to visualise, compare and audit their data.

Results: The architecture of the CARA infrastructure includes two main sections: extract, load and transform process (ELT, de-identified patient data into data models) and a Representational State Transfer Application Programming Interface (REST API) (which provides the security barrier between the data models and their visualisation on the CARA dashboard). CARAconnect was created to facilitate the extraction and de-identification of patient data from the practice database.

Discussion: The CARA infrastructure allows seamless connectivity with and compatibility with the main PMS in Irish general practice and provides a reproducible template to access and visualise patient data. CARA includes two dashboards, a practice overview and a topic-specific dashboard (example focused on antibiotic prescribing), which includes an audit tool, filters (within practice) and between-practice comparisons.

Conclusion: CARA supports evidence-based decision-making by providing GPs with valuable insights through interactive data dashboards to optimise patient care, identify potential areas for improvement and benchmark their performance against other practices.Supplementary file 1. Graphical abstract.

设计和构建 CARA 基础设施,以实现全科病人数据的可视化和基准化。
目标:协作、分析、研究和审计(CARA)项目旨在提供一个基础设施,使爱尔兰的全科医生(GPs)能够使用他们日常收集的病人管理软件(PMS)数据,通过数据仪表板更好地了解他们的病人群体、疾病管理和处方情况。本文介绍了 CARA 基础设施的设计和开发过程:第一个示例仪表板是与全科医生共同开发的,重点关注抗生素处方,以开发和展示拟议的基础设施。数据整合过程包括提取、加载和转换去标识化的患者数据到数据模型中,这些数据模型连接到交互式仪表盘,供全科医生可视化、比较和审计其数据:CARA 基础设施的架构包括两个主要部分:提取、加载和转换流程(ELT,将去身份化患者数据转换为数据模型)和表示状态传输应用编程接口(REST API)(为数据模型和 CARA 面板上的可视化数据之间提供安全屏障)。创建 CARAconnect 的目的是为了方便从实践数据库中提取和去标识化患者数据:CARA 基础设施可与爱尔兰全科医生的主要 PMS 系统实现无缝连接和兼容,并提供一个可重复的模板来访问和可视化病人数据。CARA 包括两个仪表盘,一个是实践概览,另一个是特定主题仪表盘(例如,以抗生素处方为例),其中包括审计工具、过滤器(实践内)和实践间比较:CARA支持循证决策,通过交互式数据仪表盘为全科医生提供有价值的见解,以优化患者护理,确定潜在的改进领域,并将其表现与其他诊所进行比较。图表摘要。
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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来源期刊
CiteScore
6.10
自引率
4.90%
发文量
40
审稿时长
18 weeks
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