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引入人工智能至医院药剂科。

[Translated article] Introducing artificial intelligence to hospital pharmacy departments.

机构信息

Servicio de Farmacia, Hospital Universitario de Canarias, San Cristóbal de La Laguna, Spain.

Servicio de Farmacia, Hospital Nuestra Señora de la Candelaria, Santa Cruz de Tenerife, Spain.

出版信息

Farm Hosp. 2024 Jul;48 Suppl 1:TS35-TS44. doi: 10.1016/j.farma.2024.04.001.

Abstract

Artificial intelligence is a broad concept that includes the study of the ability of computers to perform tasks that would normally require the intervention of human intelligence. By exploiting large volumes of healthcare data, Artificial intelligence algorithms can identify patterns and predict outcomes, which can help healthcare organizations and their professionals make better decisions and achieve better results. Machine learning, deep learning, neural networks, or natural language processing are among the most important methods, allowing systems to learn and improve from data without the need for explicit programming. Artificial intelligence has been introduced in biomedicine, accelerating processes, improving accuracy and efficiency, and improving patient care. By using Artificial intelligence algorithms and machine learning, hospital pharmacists can analyze a large volume of patient data, including medical records, laboratory results, and medication profiles, aiding them in identifying potential drug-drug interactions, assessing the safety and efficacy of medicines, and making informed recommendations. Artificial intelligence integration will improve the quality of pharmaceutical care, optimize processes, promote research, deploy open innovation, and facilitate education. Hospital pharmacists who master Artificial intelligence will play a crucial role in this transformation.

摘要

人工智能是一个广泛的概念,包括研究计算机执行通常需要人类智能干预的任务的能力。通过利用大量的医疗保健数据,人工智能算法可以识别模式并预测结果,这有助于医疗保健组织及其专业人员做出更好的决策并取得更好的结果。机器学习、深度学习、神经网络或自然语言处理是最重要的方法之一,使系统能够从数据中学习和改进,而无需显式编程。人工智能已在生物医学中得到应用,加速了流程,提高了准确性和效率,并改善了患者护理。通过使用人工智能算法和机器学习,医院药剂师可以分析大量的患者数据,包括病历、实验室结果和用药记录,帮助他们识别潜在的药物相互作用,评估药物的安全性和疗效,并提出明智的建议。人工智能的整合将提高药学服务的质量,优化流程,促进研究,部署开放式创新,并促进教育。掌握人工智能的医院药剂师将在这一转型中发挥关键作用。

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