基于人工智能的远程监控模型,以优化DOAC治疗:为更安全的抗凝血工作假设
Carmine Siniscalchi1, Francesca Futura Bernardi2, Alessandro Perrella3
1Internal Medicine Department, Parma Univesity Hospital, 43125 Parma, Italy.
Medicina (Kaunas, Lithuania)
|November 27, 2025
概括
这项研究引入了一种人工智能驱动的远程监控系统,以提高直接口服抗凝剂 (DOAC) 患者的安全性. 该系统为潜在并发症提供了早期警报,提高了长期治疗的有效性.
科学领域:
- 心脏病学 心脏病学
- 药理学 药理学是指药理学的学科.
- 医疗信息学 医疗信息学
背景情况:
- 直接口服抗凝剂 (DOAC) 是预防中风和静脉血栓栓塞 (VTE) 的标准.
- 长期的DOAC治疗带来了出血和衰退等风险,特别是在脆弱的患者中.
- 目前的监测缺乏主动识别并发症.
研究的目的:
- 为更安全,个性化的慢性DOAC治疗提出一个AI集成的远程监控模型.
- 提高住院和门诊患者的患者安全.
- 利用数字平台进行主动的健康管理.
主要方法:
- 使用现有的国家数字框架开发了一个结构化的远程监控模型.
- 集成的人工智能用于对实验室异常趋势,药物相互作用和临床状态变化进行自动警报.
- 专注于在症状出现之前识别高风险模式 (例如,血红蛋白下降,GFR).
主要成果:
- 该模型提供了一个集成的工作流程,用于实时监控患者数据.
- 人工智能能识别高风险模式,使早期临床干预成为可能.
- 预期的好处包括减少并发症,提高适当性,减少紧急访问.
结论:
- 人工智能集成的远程监控显著提高了长期DOAC处理的安全性和连续性.
- 该模型从被动监控转向预测,自动化警报.
- 数字化提高了医疗保健系统的效率和响应能力.
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