Carmona-Cejudo José M, Hortas Maria Luisa, Baena-García Manuel, Lana-Linati Jorge, González Carlos, Redondo Maximino, Morales-Bueno Rafael
University of Malaga, Computer Sciences and Languages Department, Málaga, Spain.
Interact J Med Res. 2012 Nov 14;1(2):e16. doi: 10.2196/ijmr.2126.
Until recently, laboratory automation has focused primarily on improving hardware. Future advances are concentrated on intelligent software since laboratories performing clinical diagnostic testing require improved information systems to address their data processing needs. In this paper, we propose DB4US, an application that automates information related to laboratory quality indicators information. Currently, there is a lack of ready-to-use management quality measures. This application addresses this deficiency through the extraction, consolidation, statistical analysis, and visualization of data related to the use of demographics, reagents, and turn-around times. The design and implementation issues, as well as the technologies used for the implementation of this system, are discussed in this paper.
To develop a general methodology that integrates the computation of ready-to-use management quality measures and a dashboard to easily analyze the overall performance of a laboratory, as well as automatically detect anomalies or errors. The novelty of our approach lies in the application of integrated web-based dashboards as an information management system in hospital laboratories.
We propose a new methodology for laboratory information management based on the extraction, consolidation, statistical analysis, and visualization of data related to demographics, reagents, and turn-around times, offering a dashboard-like user web interface to the laboratory manager. The methodology comprises a unified data warehouse that stores and consolidates multidimensional data from different data sources. The methodology is illustrated through the implementation and validation of DB4US, a novel web application based on this methodology that constructs an interface to obtain ready-to-use indicators, and offers the possibility to drill down from high-level metrics to more detailed summaries. The offered indicators are calculated beforehand so that they are ready to use when the user needs them. The design is based on a set of different parallel processes to precalculate indicators. The application displays information related to tests, requests, samples, and turn-around times. The dashboard is designed to show the set of indicators on a single screen.
DB4US was deployed for the first time in the Hospital Costa del Sol in 2008. In our evaluation we show the positive impact of this methodology for laboratory professionals, since the use of our application has reduced the time needed for the elaboration of the different statistical indicators and has also provided information that has been used to optimize the usage of laboratory resources by the discovery of anomalies in the indicators. DB4US users benefit from Internet-based communication of results, since this information is available from any computer without having to install any additional software.
The proposed methodology and the accompanying web application, DB4US, automates the processing of information related to laboratory quality indicators and offers a novel approach for managing laboratory-related information, benefiting from an Internet-based communication mechanism. The application of this methodology has been shown to improve the usage of time, as well as other laboratory resources.
直到最近，实验室自动化主要集中在改进硬件方面。未来的进展将集中在智能软件上，因为进行临床诊断测试的实验室需要改进信息系统来满足其数据处理需求。在本文中，我们提出了DB4US，这是一个自动化与实验室质量指标信息相关的应用程序。目前，缺乏现成可用的管理质量措施。该应用程序通过提取、整合、统计分析以及可视化与人口统计学、试剂和周转时间使用相关的数据来解决这一不足。本文讨论了该系统的设计和实现问题以及所使用的技术。
开发一种通用方法，该方法集成现成可用的管理质量措施的计算和一个仪表板，以便轻松分析实验室的整体性能，并自动检测异常或错误。我们方法的新颖之处在于将基于网络的集成仪表板应用于医院实验室的信息管理系统。
我们提出了一种新的实验室信息管理方法，该方法基于提取、整合、统计分析以及可视化与人口统计学、试剂和周转时间使用相关的数据，为实验室管理人员提供类似仪表板的用户网络界面。该方法包括一个统一的数据仓库，用于存储和整合来自不同数据源的多维数据。通过DB4US的实现和验证来说明该方法，DB4US是一个基于此方法的新颖网络应用程序，它构建了一个获取现成可用指标的接口，并提供从高级指标向下钻取到更详细摘要的可能性。所提供的指标是预先计算好的，以便用户需要时随时可用。该设计基于一组不同的并行进程来预先计算指标。该应用程序显示与测试、请求、样本和周转时间相关的信息。仪表板设计为在单个屏幕上显示指标集。
DB4US于2008年首次在太阳海岸医院部署。在我们的评估中，我们展示了这种方法对实验室专业人员的积极影响，因为使用我们的应用程序减少了编制不同统计指标所需的时间，并且还通过发现指标中的异常提供了用于优化实验室资源使用的信息。DB4US用户受益于基于互联网的结果通信，因为无需安装任何额外软件，从任何计算机都可获取此信息。
所提出的方法以及配套的网络应用程序DB4US，实现了与实验室质量指标相关信息的自动化处理，并提供了一种管理实验室相关信息的新颖方法，受益于基于互联网的通信机制。已证明该方法的应用可改善时间以及其他实验室资源的使用情况。
