Cleveland Clinic, Cleveland, Ohio.
Epilepsia. 2021 Mar;62 Suppl 2(Suppl 2):S71-S77. doi: 10.1111/epi.16649. Epub 2020 Sep 1.
Significant technological advances have improved our ability to localize epilepsy and investigate the electrophysiology in patients undergoing preparation for epilepsy surgery. Conversely, our process of decision-making and outcome prediction has remained essentially restricted to subjective clinical judgment. This may have hindered our ability to improve outcomes. In this review, we highlight the cognitive biases that interfere with medical decision-making and present data on the use of algorithms and statistical models in general health care, before pivoting to discuss applications in the context of epilepsy.
重大技术进步提高了我们定位癫痫和研究准备癫痫手术患者电生理学的能力。相反，我们的决策过程和结果预测仍然主要局限于主观临床判断。这可能阻碍了我们改善结果的能力。在这篇综述中，我们强调了干扰医学决策的认知偏差，并介绍了一般医疗保健中使用算法和统计模型的数据，然后转向讨论癫痫背景下的应用。
