Efficacy Evaluation of the Contraindicated Drug Incorrect Prescription Prevention System IRIS Utilizing Component-based Pharmaceutical Information—

To prevent the inadvertent administration of contraindicated medications, electronic health records incorporate a feature that automatically issues warnings at the time of prescribing based on the registration of the relevant medication. However, no single drug code encompasses all variations in dosage forms, specifications, and suppliers, consequently posing challenges for many healthcare institutions. In March 2022, Nagasaki University Hospital introduced the Prescription Checking System, called IRIS (IRIS), a database of drug information organized by pharmaceutical ingredients. Accordingly, they commenced the operation of a system for querying and alert notification at the time of prescribing. The number of cases detected during the period of September 2022 to October 2023 was investigated by defining drugs that cannot be used because of patient-specific side effects as contraindicated drugs and those that require caution as cautionary drugs. Subsequently, the number of cases detected exclusively by IRIS, including different dosage forms, specifications, formulations, manufacturers, and prodrugs, was then evaluated. The number of contraindications and side effects detected exclusively by IRIS was 412 and 1623 cases, accounting for 35% and 64% of the total, respectively. In conclusion, the system is deemed effective in efficiently detecting contraindications and side effects.

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Publication Details

Journal
Iryo Yakugaku (Japanese Journal of Pharmaceutical Health Care and Sciences)
Published
2024-11-10
DOI
https://doi.org/10.5649/jjphcs.50.631
Primary Topic
Pharmacy and Medical Practices
Type
article
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article

Efficacy Evaluation of the Contraindicated Drug Incorrect Prescription Prevention System IRIS Utilizing Component-based Pharmaceutical Information—

Shintaro Kurihara, Kaname Ohyama, Junya Hashizume, Mayumi Ito et al.
Iryo Yakugaku (Japanese Journal of Pharmaceutical Health Care and Sciences)
Pharmacy and Medical Practices
article

Efficacy Evaluation of the Contraindicated Drug Incorrect Prescription Prevention System IRIS Utilizing Component-based Pharmaceutical Information—

Shintaro Kurihara, Kaname Ohyama, Junya Hashizume, Mayumi Ito, Yukinobu Kodama, Takehiro Matsumoto, Kayoko Sato
article en

Abstract

To prevent the inadvertent administration of contraindicated medications, electronic health records incorporate a feature that automatically issues warnings at the time of prescribing based on the registration of the relevant medication. However, no single drug code encompasses all variations in dosage forms, specifications, and suppliers, consequently posing challenges for many healthcare institutions. In March 2022, Nagasaki University Hospital introduced the Prescription Checking System, called IRIS (IRIS), a database of drug information organized by pharmaceutical ingredients. Accordingly, they commenced the operation of a system for querying and alert notification at the time of prescribing. The number of cases detected during the period of September 2022 to October 2023 was investigated by defining drugs that cannot be used because of patient-specific side effects as contraindicated drugs and those that require caution as cautionary drugs. Subsequently, the number of cases detected exclusively by IRIS, including different dosage forms, specifications, formulations, manufacturers, and prodrugs, was then evaluated. The number of contraindications and side effects detected exclusively by IRIS was 412 and 1623 cases, accounting for 35% and 64% of the total, respectively. In conclusion, the system is deemed effective in efficiently detecting contraindications and side effects.

Iryo Yakugaku (Japanese Journal of Pharmaceutical Health Care and Sciences)Vol. 50(11)
Nagasaki University Hospital (JP)
Good health and well-being
Openalex Percentile: Top 67%
Pharmacy and Medical Practices
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Efficacy Evaluation of the Contraindicated Drug Incorrect Prescription Prevention System IRIS Utilizing Component-based Pharmaceutical Information— — Shintaro Kurihara, Kaname Ohyama, et al. · Iryo Yakugaku (Japanese Journal of Pharmaceutical Health Care and Sciences) (2024) | TGRS Research Map | TGRS