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Journal of Medical Systems

, Volume 36, Issue 6, pp 3533–3541 | Cite as

A High-Speed Drug Interaction Search System for Ease of Use in the Clinical Environment

  • Masahiro TakadaEmail author
  • Hiroshi Inada
  • Kazuo Nakazawa
  • Shoko Tani
  • Michiaki Iwata
  • Yoshihisa Sugimoto
  • Satoru Nagata
Original Paper
  • 179 Downloads

Abstract

With the advancement of pharmaceutical development, drug interactions have become increasingly complex. As a result, a computer-based drug interaction search system is required to organize the whole of drug interaction data. To overcome problems faced with the existing systems, we developed a drug interaction search system using a hash table, which offers higher processing speeds and easier maintenance operations compared with relational databases (RDB). In order to compare the performance of our system and MySQL RDB in terms of search speed, drug interaction searches were repeated for all 45 possible combinations of two out of a group of 10 drugs for two cases: 5,604 and 56,040 drug interaction data. As the principal result, our system was able to process the search approximately 19 times faster than the system using the MySQL RDB. Our system also has several other merits such as that drug interaction data can be created in comma-separated value (CSV) format, thereby facilitating data maintenance. Although our system uses the well-known method of a hash table, it is expected to resolve problems common to existing systems and to be an effective system that enables the safe management of drugs.

Keywords

Drug interaction search system Hash table High speed search processing CSV format RDB 

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Copyright information

© Springer Science+Business Media, LLC 2012

Authors and Affiliations

  • Masahiro Takada
    • 1
    Email author
  • Hiroshi Inada
    • 2
  • Kazuo Nakazawa
    • 3
  • Shoko Tani
    • 3
  • Michiaki Iwata
    • 3
  • Yoshihisa Sugimoto
    • 1
  • Satoru Nagata
    • 1
  1. 1.Department of Medical Informatics and Biomedical EngineeringShiga University of Medical ScienceShigaJapan
  2. 2.Course of Healthcare Informatics, Graduate School of Applied InformaticsUniversity of HyogoKobeJapan
  3. 3.National Cerebral and Cardiovascular Center Research InstituteOsakaJapan

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