推进药房实践:智能驱动药房实践的作用和药物智能的出现
1Department of Clinical Pharmacy, College of Clinical Pharmacy, Hodeidah University, Al-Hudaydah, Yemen.
Integrated pharmacy research & practice
|September 2, 2024
概括
人工智能驱动的药房实践 (IDPP) 引入了"药物智能",集成AI,数据和信息学,以优化药物管理. 这种方法旨在通过先进技术改善患者的治疗结果,并简化药房运营.
科学领域:
- 医疗保健技术 技术 医疗保健 技术
- 药房信息学 药房信息学
- 人工智能在医学中的应用
背景情况:
- 由于技术进步和个性化护理,医疗保健正在迅速发展.
- 人工智能驱动的药房实践 (IDPP) 正在出现,以提高药剂师的能力.
- 现有的药房实践面临复杂数据和不断变化的医疗需求的挑战.
研究的目的:
- 引入"药物智能"的概念,作为药房的范式转变.
- 探索人工智能,数据集成,CDSS和药房信息学的协同作用.
- 突出药物智能的潜力,以彻底改变与药物相关的过程.
主要方法:
- 基于全面的文献综述和分析的前性文章.
- 检查AI,数据科学和技术在药房中的整合.
- 对医疗需求和技术进步当前趋势的分析.
主要成果:
- 药物智能提供了一个解决药物数据复杂性的框架.
- 有潜力显著提高药物管理和患者的治疗结果.
- 通过综合技术解决方案简化药房运营.
结论:
- 药物智能对于优化现代医疗保健中的药物流程至关重要.
- 人工智能和信息学的整合对于未来的药房实践至关重要.
- 监管和道德方面的考虑对于成功实施至关重要,确保隐私和公平.
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