[实施新的干预措施和指示:现实世界数据的可能作用]
J L P Kuijpens1, Tjerk Heimens Visser2, Andre Dekker3,4
1Coöperatie VGZ UA, Eindhoven.
Nederlands tijdschrift voor geneeskunde
|February 6, 2024
概括
人工智能 (AI) 可以帮助临床决策,当随机临床试验 (RCT) 不存在. 这篇文章探讨了AI.
科学领域:
- 在瘤学瘤学.
- 辐射疗法 辐射疗法
- 医疗信息学 医疗信息学
背景情况:
- 预测治疗结果和副作用对于个性化患者护理至关重要.
- 经过精心设计的随机临床试验 (RCT) 往往无法获得或无法得出结论,使治疗决策复杂化.
- 利用真实世界数据 (RWD) 的人工智能 (AI) 算法为临床决策支持提供了潜力,但在实践中未得到充分利用.
研究的目的:
- 提交一个放射治疗机构和医疗保险公司关于AI在临床决策中使用RWD的作用的联合意见.
- 探索人工智能作为决策辅助工具的实用性,当RCT证据缺乏时.
- 用荷兰引入质子辐射疗法作为人工智能驱动的临床决策的案例.
主要方法:
- 这篇文章介绍了医疗保健提供和融资的关键利益相关者的合作视角.
- 用一个特定的临床场景 (引入质子辐射疗法) 作为实践示例.
- 重点是应用在真实世界数据上训练的AI算法.
主要成果:
- 基于RWD的AI可能会在RCT证据有限的情况下支持临床决策.
- 这次合作突出了将人工智能整合到临床工作流程中的实际考虑和潜力.
- 该案例模型展示了评估和实施人工智能用于治疗规划的途径.
结论:
- 利用RWD的人工智能有望增强临床决策支持,特别是当RCT证据稀缺时.
- 医疗保健提供者和保险公司之间的共同努力对于在临床实践中负责任地实施AI至关重要.
- 人工智能的成功整合可以提高诸如质子辐射疗法之类的疗法的精度和有效性.
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