DocumentCode
3203372
Title
Minimum Steiner Tree for Automatic SQL Query Generation Applied on a Medical Record Database
Author
Gillies, Christopher E. ; Patel, Nilesh ; Singh, Gautam B. ; Kruk, Serge G. ; Cheng, Eddie ; Wilson, George
Author_Institution
Dept. of Comput. Sci. & Eng., Oakland Univ., Rochester, MI, USA
fYear
2011
fDate
4-9 July 2011
Firstpage
443
Lastpage
450
Abstract
The size and complexity of medical record databases makes extracting information challenging. With the tables numbering in thousands, even database analysts have trouble finding important fields and discovering various associations between tables. This paper presents a case study of our initial method of finding minimum Steiner trees in the Epic Clarity Reporting database to solve this problem. In addition, we present a web service architecture that can be used to extend our approach to multiple databases.
Keywords
SQL; Web services; medical information systems; query processing; Web service architecture; automatic SQL query generation; electronic health records; epic clarity reporting database; medical record database; minimum Steiner tree; Dictionaries; HTML; Indexes; Relational databases; Steiner trees; Web services; Automatic SQL; Databases; Electronic Heath Records; Steiner Tree;
fLanguage
English
Publisher
ieee
Conference_Titel
Services (SERVICES), 2011 IEEE World Congress on
Conference_Location
Washington, DC
Print_ISBN
978-1-4577-0879-4
Electronic_ISBN
978-0-7695-4461-8
Type
conf
DOI
10.1109/SERVICES.2011.24
Filename
6012727
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