The <i>Australian Injectable Drugs Handbook</i> (AIDH): Experience of artificial intelligence translations of non‐English product information

Abstract Background In June 2022, the Society of Hospital Pharmacists of Australia (SHPA) Specialty Practice Medicines Information Leadership Committee formally requested an expanded range of imported medicines to be included in the latest edition of the Australian Injectable Drugs Handbook (AIDH), developed and published by SHPA. This request was to aid medication safety and reduce the duplication of work required by tertiary hospital staff when producing local guidance. This study describes the challenges faced by the AIDH editorial team in obtaining information in English for imported medicines. Aim The purpose of this study was to determine whether machine translation is suitable for translating foreign language product information (PI) documents into English. Method Three sources (one machine and two human sources) were used to translate the PI provided for five imported medicines from four languages into English. We compared the quality of the translations for obtaining information suitable to inform a medicine administration guideline. Ethical approval was not required for this research article as it involved no experimental investigations on humans and did not involve human participants or cohort comparisons. Results Our study found machine translation and human translations to be very similar in terms of readability and adequacy. Machine translation was found to be more time‐saving and cost‐effective. Conclusion Our results suggest that it may be appropriate for pharmacists to harness the time‐ and cost‐saving benefits of machine translation. However, pharmacists must apply their critical evaluation skills to the information provided regardless of the source of the translation. Information translated from another language relating to the administration of an injectable medicine must be verified against an English language source.

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Publication Details

Journal
Journal of Pharmacy Practice and Research
Published
2024-11-07
DOI
https://doi.org/10.1002/jppr.1946
Primary Topic
Biomedical Text Mining and Ontologies
Type
article
Field-Weighted Citation Impact
0.00

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article

The Australian Injectable Drugs Handbook (AIDH): Experience of artificial intelligence translations of non‐English product information

E. T. Wong, Keli Symons
Journal of Pharmacy Practice and Research
Biomedical Text Mining and Ontologies
article

The Australian Injectable Drugs Handbook (AIDH): Experience of artificial intelligence translations of non‐English product information

E. T. Wong, Keli Symons
article en

Abstract

Abstract Background In June 2022, the Society of Hospital Pharmacists of Australia (SHPA) Specialty Practice Medicines Information Leadership Committee formally requested an expanded range of imported medicines to be included in the latest edition of the Australian Injectable Drugs Handbook (AIDH), developed and published by SHPA. This request was to aid medication safety and reduce the duplication of work required by tertiary hospital staff when producing local guidance. This study describes the challenges faced by the AIDH editorial team in obtaining information in English for imported medicines. Aim The purpose of this study was to determine whether machine translation is suitable for translating foreign language product information (PI) documents into English. Method Three sources (one machine and two human sources) were used to translate the PI provided for five imported medicines from four languages into English. We compared the quality of the translations for obtaining information suitable to inform a medicine administration guideline. Ethical approval was not required for this research article as it involved no experimental investigations on humans and did not involve human participants or cohort comparisons. Results Our study found machine translation and human translations to be very similar in terms of readability and adequacy. Machine translation was found to be more time‐saving and cost‐effective. Conclusion Our results suggest that it may be appropriate for pharmacists to harness the time‐ and cost‐saving benefits of machine translation. However, pharmacists must apply their critical evaluation skills to the information provided regardless of the source of the translation. Information translated from another language relating to the administration of an injectable medicine must be verified against an English language source.

Journal of Pharmacy Practice and ResearchVol. 55(1)
Advanced Pharmacy Australia (AU)
Society of Hospital Pharmacists of Australia
Quality Education
Openalex Percentile: Top 82%
Biomedical Text Mining and Ontologies
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The <i>Australian Injectable Drugs Handbook</i> (AIDH): Experience of artificial intelligence translations of non‐English product information — E. T. Wong, Keli Symons · Journal of Pharmacy Practice and Research (2024) | TGRS Research Map | TGRS