医院管理信息系统中高性能和自适应的实验室报告生成

S. Srivastava, P. Khurana, A. Rai, A. Cheema, P. K. Srivastava
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引用次数: 5

摘要

医疗报告是医院管理信息系统中最密集和多样化的过程之一。在本文中,我们提出了一个有效的端到端框架来生成调查测试报告。该框架包括一个用于结果输入的新型模板设计器、一种用于将结果输入模板和数据存储为适合实验室报告和电子医疗记录的XML的结构化格式。最后,我们介绍了一个高吞吐量的两层报告生成、存储和检索工具,利用MongoDB的GridFS代替传统的基于FTP的解决方案。该系统已在三家多专科医院部署。通过广泛的实验评估,我们表明所提出的框架显著优于传统的生成报告的方法。我们还通过经验证明,MongoDB GridFS在几个性能指标上明显优于FTP。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
High performance and adaptive lab report generation in hospital management information systems
Medical Reports are amongst the most intensive and diverse processes in a Hospital Management Information System. In this paper, we propose an efficient and end-to-end framework for generating investigation test reports. The framework involves a novel template designer for result entry, an structured format for storing result entry template and data into XML suitable for lab reports and Electronic Medical Records. Lastly we introduce a high throughput two-layer report generation, storage and retrieval utility leveraging GridFS of MongoDB instead of traditional FTP based solutions. The system has been deployed at three multi-speciality hospitals. With extensive experimental evaluations, we show that the proposed framework significantly outperforms traditional methods of generating reports. We also demonstrate empirically that a MongoDB GridFS significantly outperforms FTP on several performance metrics.
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