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医院常规数据的二次利用:基于商业智能系统的可扩展分析平台描述

Secondary use of routine data in hospitals: description of a scalable analytical platform based on a business intelligence system.

作者信息

Roth Jan A, Goebel Nicole, Sakoparnig Thomas, Neubauer Simon, Kuenzel-Pawlik Eleonore, Gerber Martin, Widmer Andreas F, Abshagen Christian, Padiyath Rakesh, Hug Balthasar L

机构信息

Division of Infectious Diseases and Hospital Epidemiology, University Hospital Basel, Basel, Switzerland.

University of Basel, Basel, Switzerland.

出版信息

JAMIA Open. 2018 Sep 20;1(2):172-177. doi: 10.1093/jamiaopen/ooy039. eCollection 2018 Oct.

DOI:10.1093/jamiaopen/ooy039
PMID:31984330
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6952002/
Abstract

We describe a scalable platform for research-oriented analyses of routine data in hospitals, which evolved from a state-of-the-art business intelligence architecture for enterprise resource planning. This platform involves an in-memory database management system for data modeling and analytics and a high-performance cluster for more computing-intensive analytical tasks. Setting up platforms for research-oriented analyses is a highly dynamic, time-consuming, and costly process. In some health care institutions, effective research platforms may be derived from existing business intelligence systems.

摘要

我们描述了一个用于医院常规数据的面向研究分析的可扩展平台,该平台源自用于企业资源规划的先进商业智能架构。这个平台包括一个用于数据建模和分析的内存数据库管理系统,以及一个用于更计算密集型分析任务的高性能集群。建立面向研究分析的平台是一个高度动态、耗时且成本高昂的过程。在一些医疗机构中,有效的研究平台可能源自现有的商业智能系统。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8644/6952002/d8d74bf36c09/ooy039f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8644/6952002/36e2799dfb14/ooy039f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8644/6952002/d8d74bf36c09/ooy039f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8644/6952002/36e2799dfb14/ooy039f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8644/6952002/d8d74bf36c09/ooy039f2.jpg

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