Apply grid computation for population-based health claims analysis

Yung Tai Yen, Chien Yeh Hsu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In order to facilitate large population-based health claims data analysis, we proposed a distributed computing approach on the basis of Grid. In this study, we use National Health Insurance Research Database (NHIRD), the most important population-based health claims database in Taiwan, for potential drug interaction (DI) analysis. The large volume of data in NHIRD, which was about 200 GB of storage space for one year on average, was re-organized in 366 small subsets. We used Globus Toolkit to integrate computing resources of twelve server level computers to build the Grid system. Approximately 750 million prescription sheets were retrieved from the NHIRD for a three-year period (2000-2002) and more than 3.81 billion drugs were examined for potential DIs using the Grid system. In conclusion, to access large-scale population-based claims, the Grid computation is a robust and efficient approach for data processing and analysis.

Original languageEnglish
Title of host publicationSecond International Conference on Innovative Computing, Information and Control, ICICIC 2007
DOIs
Publication statusPublished - 2008
Event2nd International Conference on Innovative Computing, Information and Control, ICICIC 2007 - Kumamoto, Japan
Duration: Sep 5 2007Sep 7 2007

Conference

Conference2nd International Conference on Innovative Computing, Information and Control, ICICIC 2007
CountryJapan
CityKumamoto
Period9/5/079/7/07

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ASJC Scopus subject areas

  • Computer Science(all)
  • Mechanical Engineering

Cite this

Yen, Y. T., & Hsu, C. Y. (2008). Apply grid computation for population-based health claims analysis. In Second International Conference on Innovative Computing, Information and Control, ICICIC 2007 [4428003] https://doi.org/10.1109/ICICIC.2007.180