A proposed method for generating question tests based on prescription drug name similarity

Keita Nabeta, Hirotsugu Ishida, Masaomi Kimura, Michiko Ohkura, Fumito Tsuchiya

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

Abstract

An educational program aimed at orienting medical staff on proper prescription drug use needs to be implemented to avoid medical errors. Presently, pharmacists are guided by information provided in package inserts. However, these inserts are not suitable educational materials because their descriptions are usually very complex. A huge effort is needed to create educational materials for each of the 20,000 prescription drugs currently used in Japan. Therefore, it is necessary to develop a learning support system with functions that can generate educational materials automatically from a drug information database. Here, we propose a method for generating multiple-choice tests that allows students to associate brand and generic drug names based on similarity.

Original languageEnglish
Title of host publicationCSEDU 2011 - Proceedings of the 3rd International Conference on Computer Supported Education
Pages449-452
Number of pages4
Volume1
Publication statusPublished - 2011
Event3rd International Conference on Computer Supported Education, CSEDU 2011 - Noordwijkerhout
Duration: 2011 May 62011 May 8

Other

Other3rd International Conference on Computer Supported Education, CSEDU 2011
CityNoordwijkerhout
Period11/5/611/5/8

Fingerprint

medication
Students
drug
pharmacist
educational program
drug use
Japan
staff
learning
student

Keywords

  • Drug information
  • Medical education
  • Medical safety
  • Prescription drug name

ASJC Scopus subject areas

  • Computer Science Applications
  • Education

Cite this

Nabeta, K., Ishida, H., Kimura, M., Ohkura, M., & Tsuchiya, F. (2011). A proposed method for generating question tests based on prescription drug name similarity. In CSEDU 2011 - Proceedings of the 3rd International Conference on Computer Supported Education (Vol. 1, pp. 449-452)

A proposed method for generating question tests based on prescription drug name similarity. / Nabeta, Keita; Ishida, Hirotsugu; Kimura, Masaomi; Ohkura, Michiko; Tsuchiya, Fumito.

CSEDU 2011 - Proceedings of the 3rd International Conference on Computer Supported Education. Vol. 1 2011. p. 449-452.

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

Nabeta, K, Ishida, H, Kimura, M, Ohkura, M & Tsuchiya, F 2011, A proposed method for generating question tests based on prescription drug name similarity. in CSEDU 2011 - Proceedings of the 3rd International Conference on Computer Supported Education. vol. 1, pp. 449-452, 3rd International Conference on Computer Supported Education, CSEDU 2011, Noordwijkerhout, 11/5/6.
Nabeta K, Ishida H, Kimura M, Ohkura M, Tsuchiya F. A proposed method for generating question tests based on prescription drug name similarity. In CSEDU 2011 - Proceedings of the 3rd International Conference on Computer Supported Education. Vol. 1. 2011. p. 449-452
Nabeta, Keita ; Ishida, Hirotsugu ; Kimura, Masaomi ; Ohkura, Michiko ; Tsuchiya, Fumito. / A proposed method for generating question tests based on prescription drug name similarity. CSEDU 2011 - Proceedings of the 3rd International Conference on Computer Supported Education. Vol. 1 2011. pp. 449-452
@inproceedings{14e2e6c1332c4d89811f53adc50f92b4,
title = "A proposed method for generating question tests based on prescription drug name similarity",
abstract = "An educational program aimed at orienting medical staff on proper prescription drug use needs to be implemented to avoid medical errors. Presently, pharmacists are guided by information provided in package inserts. However, these inserts are not suitable educational materials because their descriptions are usually very complex. A huge effort is needed to create educational materials for each of the 20,000 prescription drugs currently used in Japan. Therefore, it is necessary to develop a learning support system with functions that can generate educational materials automatically from a drug information database. Here, we propose a method for generating multiple-choice tests that allows students to associate brand and generic drug names based on similarity.",
keywords = "Drug information, Medical education, Medical safety, Prescription drug name",
author = "Keita Nabeta and Hirotsugu Ishida and Masaomi Kimura and Michiko Ohkura and Fumito Tsuchiya",
year = "2011",
language = "English",
isbn = "9789898425492",
volume = "1",
pages = "449--452",
booktitle = "CSEDU 2011 - Proceedings of the 3rd International Conference on Computer Supported Education",

}

TY - GEN

T1 - A proposed method for generating question tests based on prescription drug name similarity

AU - Nabeta, Keita

AU - Ishida, Hirotsugu

AU - Kimura, Masaomi

AU - Ohkura, Michiko

AU - Tsuchiya, Fumito

PY - 2011

Y1 - 2011

N2 - An educational program aimed at orienting medical staff on proper prescription drug use needs to be implemented to avoid medical errors. Presently, pharmacists are guided by information provided in package inserts. However, these inserts are not suitable educational materials because their descriptions are usually very complex. A huge effort is needed to create educational materials for each of the 20,000 prescription drugs currently used in Japan. Therefore, it is necessary to develop a learning support system with functions that can generate educational materials automatically from a drug information database. Here, we propose a method for generating multiple-choice tests that allows students to associate brand and generic drug names based on similarity.

AB - An educational program aimed at orienting medical staff on proper prescription drug use needs to be implemented to avoid medical errors. Presently, pharmacists are guided by information provided in package inserts. However, these inserts are not suitable educational materials because their descriptions are usually very complex. A huge effort is needed to create educational materials for each of the 20,000 prescription drugs currently used in Japan. Therefore, it is necessary to develop a learning support system with functions that can generate educational materials automatically from a drug information database. Here, we propose a method for generating multiple-choice tests that allows students to associate brand and generic drug names based on similarity.

KW - Drug information

KW - Medical education

KW - Medical safety

KW - Prescription drug name

UR - http://www.scopus.com/inward/record.url?scp=80053019834&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=80053019834&partnerID=8YFLogxK

M3 - Conference contribution

SN - 9789898425492

VL - 1

SP - 449

EP - 452

BT - CSEDU 2011 - Proceedings of the 3rd International Conference on Computer Supported Education

ER -