YAKUGAKU ZASSHI
Online ISSN : 1347-5231
Print ISSN : 0031-6903
ISSN-L : 0031-6903
Symposium Reviews
Development of Clinical Pharmaceutical Services via Artificial Intelligence Adaptation
Hiroyasu Sato
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JOURNAL FREE ACCESS

2022 Volume 142 Issue 4 Pages 337-340

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Abstract

Recently, social implementations of artificial intelligence (AI) have been rapidly advancing. Many papers have investigated the use of AI in the field of healthcare. However, there have been few studies on the adaptation of AI to clinical pharmaceutical services. We reported attempts to adapt clinical pharmaceutical services with AI in the following areas of machine learning application in prescription audits: solutions for pharmaceutical problems via speech recognition and automatic assignment of standard code to drug name information by natural language processing. Though both were exploratory attempts, we showed the usefulness of adapting AI to clinical pharmaceutical services. AI is expected to support and alter all industries in the future, including healthcare and clinical pharmaceutical services. However, AI is not magic that can solve any problem. When using an AI-adapted program, it is necessary to be aware of its features and limitations. For the coming AI era, clinical pharmacists need to improve their AI literacy.

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© 2022 The Pharmaceutical Society of Japan
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