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Related Experiment Video

Updated: May 9, 2026

A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions
07:40

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Published on: May 27, 2021

A proposal for a drug information database and text templates for generating package inserts.

Ryo Okuya1, Masaomi Kimura, Michiko Ohkura

  • 1Graduate School of Engineering and Science, Tokyo, Japan.

Drug, Healthcare and Patient Safety
|August 10, 2013
PubMed
Summary

A new database system was developed to automatically generate drug package inserts, reducing prescription errors. This method uses structured data and templates, streamlining drug information management for pharmaceutical companies.

Keywords:
cluster analysisdrug databasedrug informationmedical safetypackage insert

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Last Updated: May 9, 2026

A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions
07:40

A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions

Published on: May 27, 2021

Area of Science:

  • Pharmacology
  • Health Informatics
  • Database Design

Background:

  • Prescription errors from information systems necessitate accurate drug data.
  • Current methods for database population from package inserts are incomplete due to inconsistent language.
  • A user-friendly database for comprehensive drug information is required.

Purpose of the Study:

  • To design a database system for storing accurate drug information.
  • To develop a method for automatically generating drug package inserts from a database.
  • To address challenges in populating drug databases from varied package insert formats.

Main Methods:

  • Designed database table schemata and text templates for package insert generation.
  • Replaced drug composition information with labels and analyzed using cluster analysis.
  • Introduced repeat tags in templates and improved database insertion for repetitive information.

Main Results:

  • Successfully regenerated existing package insert descriptions by inputting drug information.
  • Demonstrated the validity of the database and template system.
  • Identified potential for pharmaceutical companies to reduce effort in creating package inserts.

Conclusions:

  • The developed system provides a viable method for automated package insert generation.
  • This approach can improve drug information accuracy and user-friendliness.
  • Future work will expand the system to cover more aspects of package insert content.