处方精度:对智能处方系统的全面审查
Junaid Tantray1, Akhilesh Patel1, Shahid Nazir Wani2
1Department of Pharmacology, NIMS Institute of Pharmacy, NIMS University, Jaipur 303121, Rajasthan, India.
Current pharmaceutical design
|August 2, 2024
概括
智能处方系统 (IPS) 使用人工智能和大数据优化药物管理,以提供个性化的患者护理. 这些系统旨在改善结果并降低成本,尽管存在数据隐私和集成方面的挑战.
科学领域:
- * 数字健康 数字健康
- * 医疗信息学 医疗信息学
- * 医学中的人工智能
背景情况:
- *智能处方系统 (IPS) 提供个性化药物管理.
- * 他们分析患者数据以提供量身定制的治疗建议.
- * IPS旨在优化药物选择,剂量和监测.
研究的目的:
- * 审查目前智能处方系统 (IPS) 的现状.
- * 探索IPS的技术方法,应用,好处和挑战.
- * 突出IPS在推进精准医学中的作用.
主要方法:
- * 关于IPS技术的综合文献综述.
- * 在药物管理中分析AI,机器学习和大数据分析.
- *对IPS组件的检查:预测建模,相互作用检测,坚持监测.
主要成果:
- * IPS将特定患者的数据与个性化推的临床指南相结合.
- * 关键的好处包括改善治疗结果和尽量减少不良影响.
- * 挑战涉及数据隐私,互操作性,电子健康记录集成和临床医生采用.
结论:
- * IPS对于准确医学中个性化和有效的药物管理至关重要.
- *人工智能和数据分析的不断进步推动了IPS的发展.
- * 应对挑战是广泛采用和改善以患者为中心的护理的关键.
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