Hatem Najmaddin A H
Department of Clinical Pharmacy, College of Clinical Pharmacy, Hodeidah University, Al-Hudaydah, Yemen.
Integr Pharm Res Pract. 2024 Aug 26;13:139-153. doi: 10.2147/IPRP.S466748. eCollection 2024.
The field of healthcare is experiencing a significant transformation driven by technological advancements, scientific breakthroughs, and a focus on personalized patient care. At the forefront of this evolution is artificial intelligence-driven pharmacy practice (IDPP), which integrates data science and technology to enhance pharmacists' capabilities. This prospective article introduces the concept of "pharmacointelligence", a paradigm shift that synergizes artificial intelligence (AI), data integration, clinical decision support systems (CDSS), and pharmacy informatics to optimize medication-related processes. Through a comprehensive literature review and analysis, this research highlights the potential of pharmacointelligence to revolutionize pharmacy practice by addressing the complexity of pharmaceutical data, changing healthcare demands, and technological advancements. This article identifies the critical need for integrating these technologies to enhance medication management, improve patient outcomes, and streamline pharmacy operations. It also underscores the importance of regulatory and ethical considerations in implementing pharmacointelligence, ensuring patient privacy, data security, and equitable healthcare delivery.
医疗保健领域正经历着由技术进步、科学突破以及对个性化患者护理的关注所驱动的重大变革。处于这一演变前沿的是人工智能驱动的药学实践(IDPP),它整合了数据科学与技术以增强药剂师的能力。这篇前瞻性文章引入了“药学智能”的概念,这是一种将人工智能(AI)、数据整合、临床决策支持系统(CDSS)和药学信息学协同起来以优化与药物相关流程的范式转变。通过全面的文献综述与分析,本研究强调了药学智能通过应对药学数据的复杂性、不断变化的医疗保健需求以及技术进步来彻底改变药学实践的潜力。本文确定了整合这些技术以加强药物管理、改善患者结局并简化药学操作的迫切需求。它还强调了在实施药学智能时监管和伦理考量的重要性,确保患者隐私、数据安全以及公平的医疗保健服务。