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Advancing cancer care: How artificial intelligence is transforming oncology pharmacy

Mohammed Alnuhait, Alaa Shahbar, Ibrahim A. Alrumaih, Tariq Alzahrani, ‏Abdullah Mohammed Alzahrani, Abdalrhman Alanizi, Mohammed Alrashed, Mahmoud E. Elrggal, Abeer Alhuthali, Nada Alsuhebany

2024Informatics in Medicine Unlocked10 citationsDOIOpen Access PDF

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.

Topics & Concepts

Transformative learningPharmacyAnalyticsHealth careMedicineOncologyPharmacy practiceInternal medicineArtificial intelligencePsychologyNursingComputer scienceData sciencePolitical sciencePedagogyLawArtificial Intelligence in Healthcare and EducationRadiomics and Machine Learning in Medical ImagingPancreatic and Hepatic Oncology Research
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