title: Automated Data Aggregation for Time-Series Analysis: Study Case on Anaesthesia Data Warehouse.
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.
authors.affiliation: Univ. Lille, CHU Lille, Pôle d'anesthésie-réanimation, F-59000 Lille, France.
authors.forename: Antoine
authors.initials: A
authors.lastname: Lamer
authors.affiliation: Univ. Lille, CHU Lille, Pôle d'anesthésie-réanimation, F-59000 Lille, France.
authors.forename: Mathieu
authors.initials: M
authors.lastname: Jeanne
authors.affiliation: Univ. Lille, CHU Lille, EA 2694 - Santé publique: épidémiologie et qualité des soins, F-59000 Lille, France.
authors.forename: Grégoire
authors.initials: G
authors.lastname: Ficheur
authors.affiliation: Univ. Lille, Inserm, CHU Lille, CIC 1403 - Centre d'investigation clinique Innovations Technologiques, F-59000 Lille, France.
authors.forename: Romaric
authors.initials: R
authors.lastname: Marcilly
mesh_terms: D000776:Anesthesiology / Q000458:organization & administration*; D003628:Database Management Systems; D016208:Databases, Factual; D066264:Datasets as Topic; D057286:Electronic Health Records / Q000458:organization & administration*; D016247:Information Storage and Retrieval / Q000379:methods*; D008498:Medical Record Linkage / Q000379:methods*; D009323:Natural Language Processing