临床决策支持算法在疼痛管理中的兴起 2009-2024
Dan Kabella1,2, Dorie Apollonio1,3, Halle Young2
1Center for Tobacco Control Research and Education, University of California San Francisco, San Francisco, CA, USA.
Journal of general internal medicine
|May 12, 2025
概括
受阿片类药物行业影响的NarxCare等临床决策支持算法引发了人们的担忧. 它们的开发和实施可能会掩盖系统性问题,将重点从行业转移到行业.
科学领域:
- 医疗信息学 医疗信息学
- 制药行业研究 制药行业研究
- 公共卫生政策 公共卫生政策
背景情况:
- 临床决策支持 (CDS) 算法在疼痛管理中越来越多地用于风险评估.
- 阿片类药物行业对这些数字健康工具的开发和实施产生了重大影响.
- 人工智能驱动的处方工具的透明度,可靠性和潜在偏见存在担忧.
研究的目的:
- 检查阿片类药物行业对临床决策支持算法的开发和实施的影响.
- 调查行业驱动的投资和专有数据在采用NarxCare等工具中的作用.
- 批判性地评估这些技术对疼痛管理和阿片类药物危机叙事的影响.
主要方法:
- 定性研究分析了来自阿片类药物行业文档档 (OIDA) 的文件.
- 在OIDA内进行关键词搜索,以确定制药行业参与阿片类药物处方数字化转型.
- 检查行业驱动的投资,教育活动,政策活动和数据依赖.
主要成果:
- 行业投资,教育举措和专有数据促进了NarxCare的广泛实施.
- 纳克斯医疗有限的透明度,未知的可靠性和潜在的偏见引发了对患者公平的担忧.
- 推广这些技术使得行业能够加强对负责任的阿片类药物处方的叙述.
结论:
- 像NarxCare这样的技术可能使制药行业能够逃避对其在阿片类药物危机中的作用的审查.
- 这些工具可以将重点从系统性问题转移到个人风险因素,潜在地掩盖行业的影响.
- 对NarxCare的有效性,道德和持续的行业影响力进行批判性评估是必要的.
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