Artificial Intelligence in Clinical Pharmacy: From Decision Support to Prescription Execution.
Artificial intelligence (AI) is emerging and showing great potential in optimizing clinical pharmacy. This review aims to provide an overview of applications and advances of AI in clinical pharmacy. The findings illustrated that AI can assist in various stages from decision support to prescription e...
| Publicado en: | Journal of Clinical Pharmacy & Therapeutics Vol. 2026; pp. 1 - 16 |
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| Autores principales: | , , , , , , , , |
| Formato: | review tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
7/20/2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=195498531&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 195498531 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 02694727 EV4 jtl: Journal of Clinical Pharmacy & Therapeutics issn: 02694727 maglogo: Y pubinfo: dt: 7/20/2026 vid: 2026 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 195498531 195498531 195498531 10.1155/jcpt/4675298 195498531 ppf: 1 ppct: 15 formats: fmt: – @attributes: type: T – @attributes: type: C – @attributes: type: P tig: atl: Artificial Intelligence in Clinical Pharmacy: From Decision Support to Prescription Execution. aug: au: Jiang, Wenshuo Wang, Yuntian Shi, Weizhong Li, Cao Li, Mingda Tang, Yongqiang Yue, Xiaolin Zhao, Zhigang Bardhan, Munmun affil: Department of Pharmacy,, Beijing Tiantan Hospital,, Capital Medical University,, Beijing 100070,, China, ccmu.edu.cn sug: subj: Artificial Intelligence Medication Management Decision Support Systems, Clinical Prescriptions, Drug Patient Safety Decision Making, Computer Assisted Technology Machine Learning Algorithms Natural Language Processing Adverse Drug Event Medication Compliance Individualized Medicine Decision Making, Clinical Algorithms Neural Networks (Computer) Drug Interactions Drug Administration Data Quality Drug Information User-Computer Interface Pharmacy and Pharmacology ab: Artificial intelligence (AI) is emerging and showing great potential in optimizing clinical pharmacy. This review aims to provide an overview of applications and advances of AI in clinical pharmacy. The findings illustrated that AI can assist in various stages from decision support to prescription execution supporting safer and more effective therapeutic practice. Machine learning and natural language processing are useful tools for tasks such as drug therapy recommendation, precision dosing, adverse drug event prediction and improving medication adherence. This study summarizes the latest progress in AI technologies within clinical medication from the view of both pharmacists and AI specialists. Future efforts should focus on addressing challenges like data quality issues to steadily advance AI‐driven clinical medication development. pubtype: Academic Journal doctype: review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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