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药物提醒系统的构建和应用:智能生成通用药物表的智能生成
Hangxing Huang1,2,3, Lu Zhang1,2, Yongyu Yang4
1Department of Pharmacy, Xiangya Hospital, Central South University, NO.87, Xiangya Road, Changsha, 410008, Hunan Province, China.
BioData mining
|July 15, 2024
概括
这项研究开发了一个智能药物提醒系统,以改善慢性疾病患者的药物坚持. 该系统提供个性化的时间表和实时指导,提高治疗的安全性和有效性.
科学领域:
- 医疗信息学 医疗信息学
- 制药科学 制药科学
- 慢性疾病管理 慢性疾病管理
背景情况:
- 慢性疾病需要复杂的每日药物治疗方案.
- 患者不良坚持治疗显著影响治疗疗效.
- 一个新的药物提醒系统解决了这些挑战.
研究的目的:
- 开发一个智能通用药物表 (UMS) 生产系统.
- 提高在家庭治疗慢性病的药物准确性和安全性.
- 通过及时的提醒和指导,改善患者的遵守.
主要方法:
- 单药 (MTCOD) 和多药 (MTCMD) 方案的设计药物时间限制.
- 建立了一个云端药物数据库,操作员终端和患者终端的系统.
- 集成智能UMS生成用于个性化药物时间表.
主要成果:
- 云数据库包含广泛的药物和相互作用数据 (153,916 种产品,496,708 种相互作用).
- 该系统成功生成了个性化药物时间表和指导.
- 实时远程药房咨询和药物信息查询已启用.
结论:
- 药物提醒系统提供智能提醒和自动药物相互作用识别.
- 它有助于全面监测慢性疾病患者的治疗过程.
- 该系统对于改善慢性护理中的药物安全性和遵守是有价值的.
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