Automated Data Aggregation for Time-Series Analysis: Study Case on Anaesthesia Data Warehouse

被引：9
|
作者：
Lamer, Antoine [1 ,2 ]
Jeanne, Mathieu [1 ,2 ]
Ficheur, Gregoire [3 ]
Marcilly, Romaric [2 ]
机构：
[1] Univ Lille, CHU Lille, Pole Anesthesie Reanimat, F-59000 Lille, France
[2] Univ Lille, INSERM, CHU Lille, CIC 1403,Ctr Invest Clin Innovat Technol, F-59000 Lille, France
[3] Univ Lille, CHU Lille, EA Sante Publ Epidemiol & Qual Soins 2694, F-59000 Lille, France
来源：
TRANSFORMING HEALTHCARE WITH THE INTERNET OF THINGS | 2016年 / 221卷
关键词：
Data Collection; Vital Signs; Anesthesia; CLINICAL-DATA; REUSE;
D O I：
10.3233/978-1-61499-633-0-102
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Data stored in operational databases are not reusable directly. Aggregation modules are necessary to facilitate secondary use. They decrease volume of data while increasing the number of available information. In this paper, we present four automated engines of aggregation, integrated into an anaesthesia data warehouse. Four instances of clinical questions illustrate the use of those engines for various improvements of quality of care: duration of procedure, drug administration, assessment of hypotension and its related treatment.
引用
收藏
页码：102 / 106
页数：5
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