Algorithms in medical decision-making and in everyday life: what's the difference?

被引：0

作者：

Chartash, David ^{[1
,2
]}

Bruno, Michael A. ^{[3
,4
]}

机构：

[1] Yale Univ, Sch Med, Sect Biomed Informat & Data Sci, New Haven, CT 06520 USA

[2] Natl Univ Ireland, Univ Coll Dublin, Sch Med, Dublin, Ireland

[3] Penn State Milton S Hershey Med Ctr, Hershey, PA USA

[4] Coll Med, Hershey, PA USA

来源：

DIAGNOSIS | 2024年 / 11卷 / 03期

关键词：

artificial intelligence; clinical informatics; evidence-based medicine; cognitive science; LOST ART; INFORMATION;

D O I：

10.1515/dx-2024-0010

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

Algorithms are a ubiquitous part of modern life. Despite being a component of medicine since early efforts to deploy computers in medicine, clinicians' resistance to using decision support and use algorithms to address cognitive biases has been limited. This resistance is not just limited to the use of algorithmic clinical decision support, but also evidence and stochastic reasoning and the implications of the forcing function of the electronic medical record. Physician resistance to algorithmic support in clinical decision making is in stark contrast to their general acceptance of algorithmic support in other aspects of life.

引用

页码：244 / 249

页数：6

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