Analysis on Descriptions of Precautionary Statements in Package Inserts of Medicines

Keita Nabeta; Masaomi Kimura; Michiko Ohkura; Fumito Tsuchiya

doi:10.1201/EBK1439834978-33

Analysis on Descriptions of Precautionary Statements in Package Inserts of Medicines

Keita Nabeta, Masaomi Kimura, Michiko Ohkura, Fumito Tsuchiya

Research output: Chapter in Book/Report/Conference proceeding › Chapter

1 Citation (Scopus)

Abstract

To prevent medical accidents, users must be informed of the cautions written in medical package inserts. To realize countermeasures by utilizing information systems, we must also implement a drug information database. However, this is not easy to develop, since the descriptions in package inserts arc too complex and their information poorly structured. In this paper, we report on the result of analysis concerning the descriptions of ‘precautions for application’ in package inserts via text mining methods, and propose a data structure for the same, in order to organize the information in the descriptions.

Original language	English
Title of host publication	Advances in Human Factors and Ergonomics in Healthcare
Publisher	CRC Press
Pages	257-266
Number of pages	10
ISBN (Electronic)	9781439834985
ISBN (Print)	9781138113312
DOIs	https://doi.org/10.1201/EBK1439834978-33
Publication status	Published - 2010 Jan 1

Keywords

Drug information
Medical safety
Text mining

ASJC Scopus subject areas

Engineering(all)

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10.1201/EBK1439834978-33

Cite this

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abstract = "To prevent medical accidents, users must be informed of the cautions written in medical package inserts. To realize countermeasures by utilizing information systems, we must also implement a drug information database. However, this is not easy to develop, since the descriptions in package inserts arc too complex and their information poorly structured. In this paper, we report on the result of analysis concerning the descriptions of {\textquoteleft}precautions for application{\textquoteright} in package inserts via text mining methods, and propose a data structure for the same, in order to organize the information in the descriptions.",

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AU - Nabeta, Keita

AU - Kimura, Masaomi

AU - Ohkura, Michiko

AU - Tsuchiya, Fumito

PY - 2010/1/1

Y1 - 2010/1/1

N2 - To prevent medical accidents, users must be informed of the cautions written in medical package inserts. To realize countermeasures by utilizing information systems, we must also implement a drug information database. However, this is not easy to develop, since the descriptions in package inserts arc too complex and their information poorly structured. In this paper, we report on the result of analysis concerning the descriptions of ‘precautions for application’ in package inserts via text mining methods, and propose a data structure for the same, in order to organize the information in the descriptions.

AB - To prevent medical accidents, users must be informed of the cautions written in medical package inserts. To realize countermeasures by utilizing information systems, we must also implement a drug information database. However, this is not easy to develop, since the descriptions in package inserts arc too complex and their information poorly structured. In this paper, we report on the result of analysis concerning the descriptions of ‘precautions for application’ in package inserts via text mining methods, and propose a data structure for the same, in order to organize the information in the descriptions.

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KW - Medical safety

KW - Text mining

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BT - Advances in Human Factors and Ergonomics in Healthcare

PB - CRC Press

ER -

Analysis on Descriptions of Precautionary Statements in Package Inserts of Medicines

Abstract

Keywords

ASJC Scopus subject areas

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