人工智能是如何推动喘管理的? 对经济和临床方面的洞察力
1College of Pharmacy, Al Ain University, Abu Dhabi, United Arab Emirates.
Journal of medical economics
|October 30, 2023
概括
人工智能 (AI) 和机器学习 (ML) 显示了通过加强监测和个性化治疗来改善喘护理和降低医疗保健成本的潜力. 需要进一步的研究来确认成本效益,并解决广泛采用的伦理问题.
科学领域:
- 呼吸系统医学 呼吸系统医学
- 医疗信息学 医疗信息学
- 卫生经济学 卫生经济学
背景情况:
- 喘是一种常见的慢性呼吸道疾病,具有重大的全球经济影响.
- 人工智能 (AI) 和机器学习 (ML) 在控制喘方面提供了变革性的潜力.
- 目前的喘护理在成本效益和个性化治疗方面面临挑战.
研究的目的:
- 研究AI和ML在改善喘临床结果中的作用.
- 探索AI和ML如何减轻喘护理的经济负担.
- 确定AI/ML在预防措施和早期检测中的潜力.
主要方法:
- 审查当前的应用和AI/ML在喘管理中的潜力.
- 分析AI在识别风险人群和环境触发因素方面的作用.
- 检查ML在实时监测,早期检测和量身定制的儿科喘治疗中的承诺.
主要成果:
- 人工智能可以通过识别风险人群和触发因素来增强预防策略.
- ML显示实时监测和个性化儿科喘护理的承诺,可能减少住院治疗.
- 人工智能驱动的可穿戴设备正在实现积极的患者监测和干预.
结论:
- 人工智能和机器学习为改善喘护理和降低医疗保健成本提供了巨大的潜力.
- 在关于人工智能在喘治疗中的成本效益的经验研究中存在一个差距,需要更大的数据集.
- 伦理考虑,包括数据隐私和算法偏见,对于公平的AI集成至关重要.
关键词:
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