关键词: Aprendizaje automático Aprendizaje profundo Artificial intelligence Deep learning Farmacia hospitalaria Hospital pharmacy Inteligencia Artificial Machine learning Neuronal networks and natural language processing Redes neuronales y procesamiento natural del lenguaje

Mesh : Pharmacy Service, Hospital / organization & administration Artificial Intelligence Humans Pharmacists Algorithms Machine Learning Neural Networks, Computer

来  源:   DOI:10.1016/j.farma.2024.02.007

Abstract:
Artificial intelligence (AI) 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. AI has been introduced in biomedicine, accelerating processes, improving safety and efficiency, and improving patient care. By using AI 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. AI integration will improve the quality of pharmaceutical care, optimize processes, promote research, deploy open innovation, and facilitate education. Hospital pharmacists who master AI will play a crucial role in this transformation.
摘要:
人工智能(AI)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,这可以帮助医疗机构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,允许系统从数据中学习和改进,而不需要显式编程。人工智能已经被引入生物医学,加速进程,提高安全性和效率,改善病人护理。通过使用AI算法和机器学习,医院药剂师可以分析大量的患者数据,包括医疗记录,实验室结果,和药物简介,帮助他们识别潜在的药物相互作用,评估药物的安全性和有效性,并提出明智的建议。人工智能整合将提高药学服务质量,优化流程,促进研究,部署开放式创新,促进教育。掌握AI的医院药剂师将在这一转变中发挥至关重要的作用。
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