实现人工智能在药学实践中的潜力:采用人工智能的障碍与途径

Md Ismail Ahamed Fahim , Tamanna Shahrin Tonny , Abdullah Al Noman
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摘要

人工智能(AI)通过简化程序、提高效率和加快药物研究,在彻底改变药房运作方面具有巨大潜力。然而,高昂的费用、对人工智能缺乏信心、对失业的担忧、对隐私的威胁以及无法替代人类决策等障碍阻碍了人们对人工智能的接受。本文讨论了人工智能在药学领域的前景、阻碍其应用的障碍以及使其更容易整合的方法。医疗保健领域大数据的扩展为人工智能提供了获得理解的机会,但检查和实施信息仍存在困难。实施成本高昂、安全问题、法规对数据交换的限制以及缺乏人际互动等重大障碍亟待解决。促进接受的方法包括:围绕人工智能提升医疗教学,让相关各方参与进来,为研发分配资源,创建有保障的机器学习方法,以及谨慎地将人工智能融入药剂师的工作中,以增强而非取代药剂师。虽然还需要付出更多努力来建立对人工智能的信心并解决真正的担忧,但具体行动可以利用人工智能的能力来提高效率、降低成本、加快药物开发并改善患者的医疗保健。要想负责任地、合乎道德地采用人工智能,就必须通过相关各方的合作来解决障碍,并以增强人力而非替代人力为中心逐步融入人工智能。
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Realizing the potential of AI in pharmacy practice: Barriers and pathways to adoption

Artificial intelligence (AI) has immense potential to revolutionize pharmacy operations by simplifying procedures, improving efficiency, and expediting pharmaceutical research. Nevertheless, obstacles such as steep expenses, absence of faith in AI, worries about unemployment, threats to privacy, and the incapacity to substitute human decision-making have impeded acceptance. This text discusses the future of AI in the field of pharmacy, obstacles that are preventing its usage, and methods to make its integration easier. The expansion of large data in healthcare offers chances for AI to obtain understanding, but examining and implementing information still presents difficulties. Significant obstacles such as costly implementation, safety concerns, restrictions on data exchange by regulations, and absence of interpersonal interaction need to be resolved. Methods to facilitate acceptance involve upgrading medical instruction to center around AI, involving interested parties, allocating resources for research and development, creating safeguarded machine learning methods, and carefully incorporating AI to enhance, rather than replace, pharmacy personnel. Although additional effort is required to establish confidence in AI and address genuine worries, specific actions can tap into AI's capacity to enhance effectiveness, lower expenses, expedite drug exploration, and improve healthcare for patients. Responsible and moral adoption requires tackling obstacles through cooperation among interested parties and gradual incorporation centered on enhancing human workforce, rather than substituting them.

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