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Automated Data Aggregation for Time-Series Analysis: Study Case on Anaesthesia Data Warehouse
Antoine Lamer, Mathieu Jeanne, Grégoire Ficheur, Romaric Marcilly
102 - 106
10.3233/978-1-61499-633-0-102
Studies in Health Technology and Informatics
Volume 221: Transforming Healthcare with the Internet of Things
Abstract

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.

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