Literature DB >> 19023490

High speed clinical data retrieval system with event time sequence feature: with 10 years of clinical data of Hamamatsu University Hospital CPOE.

M Kimura1, S Tani, H Watanabe, Y Naito, T Sakusabe, H Watanabe, J Nakaya, F Sasaki, T Numano, T Furuta, T Furuta.   

Abstract

OBJECTIVES: This paper illustrates a high speed clinical data retrieving system, from 10 years of data of operating hospital information system for the purposes of research, evidence creation, patient safety, etc., even incorporating time sequence of causal relations.
METHODS: Total of 73,709,298 records of 10 years at Hamamatsu University Hospital (as of June 2008) are sent from HIS to retrieval system in HL7 v2.5 format. Hierarchical variable length database is used to install them.
RESULTS: A search for "listing patients who were prescribed Pravastatin (Mevalotin and generic drugs, any titer)" took 1.92 seconds. "Pravastatin (any) prescribed and recorded AST >150 within two weeks" took 112.22 seconds. Searching conditions can be set to be more complex, connected by Boolean operator and/or. This system called D*D is in operation at Hamamatsu University Hospital since August 2002. It is used for 48,518 times (monthly average of 703 searches). Neither searching, nor background export of data from HIS caused delay of routine operating CPOE.
CONCLUSIONS: Search database outside of routine operating CPOE, with daily export of order data in HL7 v2.5 format, is proved to provide excellent search environment without causing trouble. Hierarchical representation gives high-speed search response, especially with time sequence of events.

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Year:  2008        PMID: 19023490     DOI: 10.3414/ME9125

Source DB:  PubMed          Journal:  Methods Inf Med        ISSN: 0026-1270            Impact factor:   2.176


  4 in total

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Journal:  Eur J Clin Pharmacol       Date:  2009-03-04       Impact factor: 2.953

2.  Changes in compliance with Japanese antiemetic guideline for chemotherapy-induced nausea and vomiting: a nationwide survey using a distributed research network.

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3.  More powerful search engine invalidates anonymity guidelines for case reports.

Authors:  Shigeki Tani; Shinichi Higuchi; Goshi Fujimoto; Jun Nakaya; Michio Kimura
Journal:  Healthc Inform Res       Date:  2011-03-31

4.  MIHARI project, a preceding study of MID-NET, adverse event detection database of Ministry Health of Japan-Validation study of the signal detection of adverse events of drugs using export data from EMR and medical claim data.

Authors:  Hiroshi Watanabe; Kiyoteru Takenouchi; Michio Kimura
Journal:  PLoS One       Date:  2021-09-08       Impact factor: 3.240

  4 in total

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