医疗决策和日常生活中的算法:有什么区别?
David Chartash1,2, Michael A Bruno3
1Section for Biomedical Informatics and Data Science, Yale University School of Medicine, New Haven, USA.
Diagnosis (Berlin, Germany)
|February 22, 2024
概括
医生抵制临床决策支持算法,尽管它们在日常生活中广泛使用. 这种阻力延伸到电子医疗记录,并影响医学中的基于证据的推理.
科学领域:
- 医疗信息学 医疗信息学
- 临床决策支持系统 临床决策支持系统
- 医学中的认知科学 医学中的认知科学
背景情况:
- 算法是现代生活中不可或缺的组成部分,但在临床实践中采用它们面临着重大障碍.
- 医生对医学的算法工具的接受落后于其在其他生活领域的接受.
- 不仅针对直接临床决策支持,还针对基于证据的推理和电子医疗记录功能.
研究的目的:
- 探索临床医生在医学中采用算法决策支持有限的原因.
- 将医生对临床环境中的算法态度与日常生活进行对比.
- 检查电子医疗记录对医疗决策中的算法使用的影响.
主要方法:
- 对医生对算法工具的态度进行定性分析.
- 医学与其他领域对算法接受度的比较研究.
- 关于认知偏见和电子健康记录"强迫功能"的文献评论.
主要成果:
- 临床医生对算法决策支持的抵抗是医疗保健中的一个重要障碍.
- 医生很容易在非医疗环境中接受算法,突出了差异.
- 电子医疗记录环境及其固有的约束因素有助于这种阻力.
结论:
- 了解和解决医生耐药性对于成功实施临床算法至关重要.
- 弥合日常生活和临床实践中的算法接受之间的差距,对于医疗信息学的进步至关重要.
- 需要进一步的研究来克服电子病历和临床工作流程中算法集成的障碍.
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