综合证据规划的演变和未来
Won Chan Lee1, Chris Blanchette2, Shibani Pokras3
1RWE/HEOR/ES, Axtria, Inc, Berkeley Heights, USA.
Expert review of pharmacoeconomics & outcomes research
|April 23, 2025
概括
综合证据规划 (IEP) 通过将证据与需求相协调,优化药物开发. 像生成人工智能这样的先进技术正在彻底改变IEP,增强决策和患者获取.
科学领域:
- 制药科学 制药科学
- 医疗信息学 医疗信息学
- 生物技术是生物技术.
背景情况:
- 综合证据规划 (IEP) 对于使药物开发与监管,临床和市场需求保持一致至关重要.
- 制药行业面临越来越复杂的证据生成和市场准入策略.
研究的目的:
- 检查IEP在药物开发生命周期中的作用和应用.
- 探索包括AI/ML和生成AI在内的先进技术对IEP的影响.
- 讨论成功实施IEP的挑战和最佳实践.
主要方法:
- 审查药物开发中的IEP原则和应用.
- 综合分析技术的分析 (描述性,ML,因果推理).
- 讨论技术进步 (AI / ML,NLP,生成AI) 和现实世界的证据.
主要成果:
- IEP通过确保证据与各种需求保持一致来优化药物开发和市场准入.
- 先进的技术,特别是生成性人工智能,准备彻底改变IEP,改善决策和患者访问.
- 现实世界的证据发挥着不断变化的作用,使IEP成为一个动态和代的过程.
结论:
- 成功实施IEP需要解决组织障碍,数据可访问性和专业工具.
- 生成型人工智能为IEP的按需洞察力和数据访问提供了变革性的潜力.
- 强有力的领导力,利益相关者对齐和资源优化是最大限度地发挥IEP利益的关键.
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