Use of synthesized data to support complex ad-hoc queries in an enterprise information warehouse: a diabetes use case.
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.
Rogers
Patrick
P
Ohio State University Medical Center, Columbus, OH, USA.
Erdal
Selnur
S
Santangelo
Jennifer
J
Liu
Jianhua
J
Schuster
Dara
D
Kamal
Jyoti
J
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