{"title":"Advancing cancer care: How artificial intelligence is transforming oncology pharmacy","authors":"","doi":"10.1016/j.imu.2024.101529","DOIUrl":null,"url":null,"abstract":"<div><p>This article explores the transformative impact of Artificial Intelligence (AI) in oncology pharmacy. Oncology pharmacists, traditionally pivotal to cancer management, are now navigating a landscape revolutionized by AI advancements, including machine learning and predictive analytics. Their role has expanded beyond conventional boundaries to encompass data-driven decision-making, AI-guided clinical support, and comprehensive patient counseling on AI-based treatment protocols. This evolution necessitates an augmented skill set encompassing technological proficiency, data interpretation, and ethical considerations in patient care. Despite the promise of AI in personalizing treatment and enhancing patient outcomes, challenges persist, including data privacy concerns, integration complexities, and ethical quandaries. Oncology pharmacy is transitioning to a more patient-focused practice, driven by continuous innovation and adaptation to AI technologies. This shift underscores the critical role of oncology pharmacists in shaping an AI-integrated future in healthcare, pivotal for advancing cancer treatment and improving patient care.</p></div>","PeriodicalId":13953,"journal":{"name":"Informatics in Medicine Unlocked","volume":"50 ","pages":"Article 101529"},"PeriodicalIF":0.0000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2352914824000856/pdfft?md5=5ae6f7a34e8981fbb4f0fed62e161cc2&pid=1-s2.0-S2352914824000856-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Informatics in Medicine Unlocked","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352914824000856","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
Abstract
This article explores the transformative impact of Artificial Intelligence (AI) in oncology pharmacy. Oncology pharmacists, traditionally pivotal to cancer management, are now navigating a landscape revolutionized by AI advancements, including machine learning and predictive analytics. Their role has expanded beyond conventional boundaries to encompass data-driven decision-making, AI-guided clinical support, and comprehensive patient counseling on AI-based treatment protocols. This evolution necessitates an augmented skill set encompassing technological proficiency, data interpretation, and ethical considerations in patient care. Despite the promise of AI in personalizing treatment and enhancing patient outcomes, challenges persist, including data privacy concerns, integration complexities, and ethical quandaries. Oncology pharmacy is transitioning to a more patient-focused practice, driven by continuous innovation and adaptation to AI technologies. This shift underscores the critical role of oncology pharmacists in shaping an AI-integrated future in healthcare, pivotal for advancing cancer treatment and improving patient care.
期刊介绍：
Informatics in Medicine Unlocked (IMU) is an international gold open access journal covering a broad spectrum of topics within medical informatics, including (but not limited to) papers focusing on imaging, pathology, teledermatology, public health, ophthalmological, nursing and translational medicine informatics. The full papers that are published in the journal are accessible to all who visit the website.
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