为了更好的护理目标,人工智能 护理文档 文档
Gina Piscitello1,2, Jane O Schell3,2, Robert M Arnold4
1Section of Palliative Care and Medical Ethics, Division of Internal Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA piscitellogm@upmc.edu.
BMJ supportive & palliative care
|June 27, 2024
概括
针对高风险医院患者的治疗目标对话 (GOC) 的有针对性的倡议显示,跨种族群体的记录率相似. 这表明在终身护理文档中促进种族平等的潜力.
科学领域:
- 医疗保健中的差异
- 终身护理研究 终身护理研究
- 医疗信息学医学信息学
背景情况:
- 在住院患者的治疗目标 (GOC) 对话中存在种族差异.
- 这些差异可能会导致终身护理方面的不平等.
- 需要有针对性的举措来弥补文档缺口.
研究的目的:
- 评估针对性倡议与不同种族群体中中国政府文件记录率之间的关联.
- 评估该倡议是否减少了中国政府文件中的种族差异.
主要方法:
- 针对性倡议期间对中国政府文件的回顾性分析.
- 包括AI预测的高死亡风险的成年患者.
- 在2021年7月至2022年12月期间从城市学术医疗中心收集的数据.
主要成果:
- 总体而言,中国政府的记录率为28% (1019/3643名患者).
- 跨种族群体的文档化率相似:30%黑人,28%白人,24%其他 (p=0.3933).
- 随着时间的推移,中国政府在种族之间的文档化率没有统计差异 (p=0.5142).
结论:
- 针对高风险患者的中国政府文件的有针对性的倡议与种族群体的相似率有关.
- 需要进一步的研究来确认这个倡议是否在不同环境中促进了中国政府文献中的种族平等.
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