人工智能在老年人中多药管理中的作用:一个范围审查
Kyle Bringhurst1, Talaya Jones1, Gerard Runko1
1Dr. Kiran C. Patel College of Osteopathic Medicine, Nova Southeastern University, Fort Lauderdale, USA.
Cureus
|September 25, 2025
概括
人工智能 (AI) 工具可以通过减少药物相互作用和改善药物坚持来有效地管理老年人中的多药学. 需要进一步研究人工智能的长期影响和医疗保健中的伦理考虑.
科学领域:
- 老年学是一门学科.
- 医疗信息学 医疗信息学
- 人工智能的人工智能
背景情况:
- 多药性是老年人面临的重大挑战,增加了药物不良事件的风险,并影响了生活质量.
- 医疗保健中现有的人工智能 (AI) 研究往往忽视了它在老年人群的药物管理中的具体应用.
- 需要了解人工智能如何解决50岁及以上成年人多种药物管理的复杂问题.
研究的目的:
- 进行范围审查,评估AI在50岁及以上的成年人中管理多药物的应用和范围.
- 确定人工智能工具如何减少不适当的药物使用,药物相互作用,并在这个人口群体中改善药物坚持.
主要方法:
- 在EMBASE,Ovid MEDLINE和Web of Science数据库中搜索了关于多药学,医疗保健中的AI,机器学习和老年人群的文章.
- 系统选了58个初始引用,其中12个接受了进一步的资格评估和批判性评估.
- 保留了五篇文章进行最终分析,重点关注老年人药物管理中的AI应用.
主要成果:
- 人工智能工具在消除药物相互作用和检测可能不合适的药物 (PIM) 方面表现出效率和准确性.
- 机器学习和基于音频的系统显示出改善老年人服用药物的潜力.
- 在患有慢性疾病的老年人中,人工智能成功地确定了将多病症和多药性联系在一起的模式.
- 人工智能工具被认为是用户友好和有利于提高药物坚持.
结论:
- 人工智能对于管理老年人多药,提高药物安全性和改善药物坚持有很大的潜力.
- 人工智能可以帮助预测老年患者药物相关错误的风险因素.
- 未来的研究应该探索AI的长期患者结果,个性化药物治疗,并解决算法透明度和偏见等挑战.
关键词:
一个是ai ai ai药物相互作用 药物相互作用老年人的医疗服务医疗技术 医疗技术 医疗技术大型语言模型 (llm)机器学习 (ml)多种药物多种药物.年龄较大的成年人.患者管理 患者管理药品管理 药品管理更多相关视频
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