title: Use of synthesized data to support complex ad-hoc queries in an enterprise information warehouse: a diabetes use case.
abstract: The Ohio State University Medical Center (OSUMC) Information Warehouse (IW) is a comprehensive data warehousing facility incorporating operational, clinical, and biological data sets from multiple enterprise system. It is common for users of the IW to request complex ad-hoc queries that often require significant intervention by data analyst. In response to this challenge, we have designed a workflow that leverages synthesized data elements to support such queries in an more timely, efficient manner.
authors.affiliation: Ohio State University Medical Center, Columbus, OH, USA.
authors.forename: Patrick
authors.initials: P
authors.lastname: Rogers
authors.forename: Selnur
authors.initials: S
authors.lastname: Erdal
authors.forename: Jennifer
authors.initials: J
authors.lastname: Santangelo
authors.forename: Jianhua
authors.initials: J
authors.lastname: Liu
authors.forename: Dara
authors.initials: D
authors.lastname: Schuster
authors.forename: Jyoti
authors.initials: J
authors.lastname: Kamal
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D016208:Databases, Factual; D003920:Diabetes Mellitus / Q000175:diagnosis* / Q000628:therapy*; D006801:Humans; D016247:Information Storage and Retrieval / Q000379:methods; D016347:Medical Records Systems, Computerized / Q000706:statistics & numerical data*; D009323:Natural Language Processing; D009820:Ohio; D010363:Pattern Recognition, Automated / Q000379:methods*; D009626:Terminology as Topic; D014584:User-Computer Interface