通过使用个性化第二代数字系统来提高慢性药物的有效性,克服慢性药物的低坚持
Areej Bayatra1, Rima Nasserat1, Yaron Ilan1
1Department of Medicine, the Hebrew University-Hadassah Medical Center, Jerusalem, Israel.
Current pharmaceutical biotechnology
|January 30, 2024
概括
对慢性治疗的低坚持阻碍了患者的治疗结果. 本综述探讨了数字解决方案,强调了需要先进的AI系统,而不仅仅是简单的提醒,以提高药物坚持和治疗效果.
科学领域:
- 医学坚持研究研究医学坚持研究.
- 数字健康干预措施 数字健康干预措施
- 医疗保健中的人工智能
背景情况:
- 对慢性病治疗方案的低坚持是改善慢性病患者临床结果的主要障碍.
- 多种因素导致坚持不良,需要全面的解决方案.
研究的目的:
- 审查现有的关于慢性治疗的低坚持率的研究.
- 探索潜在的解决方案,以改善患者的坚持.
- 描述第二代人工智能系统的开发,以提高慢性药物有效性.
主要方法:
- 关于坚持流行率的研究的文献综述.
- 分析当前的依从性改进措施.
- 一个新的人工智能系统的描述.
主要成果:
- 第一代数字系统主要使用提醒,对许多患者来说不足.
- 现有的依从性改进方法需要改进.
- 提出了第二代人工智能系统,以提高慢性药物有效性.
结论:
- 改善临床上有意义的结果指标和疾病参数可以提高坚持.
- 通过改善治疗的坚持,可以获得更好的患者对治疗的反应.
- 先进的数字健康解决方案,如人工智能,对于克服坚持障碍至关重要.
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