Evaluating parallel relational databases for medical data analysis.

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Description

Hospitals have always generated and consumed large amounts of data concerning patients, treatment and outcomes. As computers and networks have permeated the hospital environment it has become feasible to collect and organize all of this data. This raises naturally the question of how to deal with the resulting mountain of information. In this report we detail a proof-of-concept test using two commercially available parallel database systems to analyze a set of real, de-identified medical records. We examine database scalability as data sizes increase as well as responsiveness under load from multiple users.

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50 p.

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Rintoul, Mark Daniel & Wilson, Andrew T. March 1, 2012.

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Description

Hospitals have always generated and consumed large amounts of data concerning patients, treatment and outcomes. As computers and networks have permeated the hospital environment it has become feasible to collect and organize all of this data. This raises naturally the question of how to deal with the resulting mountain of information. In this report we detail a proof-of-concept test using two commercially available parallel database systems to analyze a set of real, de-identified medical records. We examine database scalability as data sizes increase as well as responsiveness under load from multiple users.

Physical Description

50 p.

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  • Report No.: SAND2012-1881
  • Grant Number: AC04-94AL85000
  • DOI: 10.2172/1039004 | External Link
  • Office of Scientific & Technical Information Report Number: 1039004
  • Archival Resource Key: ark:/67531/metadc845333

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Office of Scientific & Technical Information Technical Reports

Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

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  • March 1, 2012

Added to The UNT Digital Library

  • May 19, 2016, 3:16 p.m.

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  • Dec. 5, 2016, 3:16 p.m.

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Rintoul, Mark Daniel & Wilson, Andrew T. Evaluating parallel relational databases for medical data analysis., report, March 1, 2012; United States. (digital.library.unt.edu/ark:/67531/metadc845333/: accessed October 18, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.