Learning from Mistakes: Constructing and Mining Misdiagnosis Database to Reduce Cognitive Error

Presenter Information

Hui Fang, Shanghai University of Finance and EconomicsFollow
Hailiang Huang, Shanghai University of Finance and EconomicsFollow
Gujie Li, Shanghai University of Finance and EconomicsFollow
Yanhong Li, Shanghai University of Finance and EconomicsFollow

Description

Diagnostic error is now a leading problem globally with the increase of mortality rate, financial cost and social burden. Existing IT artifacts mainly focus on tackling diagnostic errors caused by system flaws but fail to address users™ cognitive biases.

Recommended Citation

Fang, Hui; Huang, Hailiang; Li, Gujie; and Li, Yanhong, "Learning from Mistakes: Constructing and Mining Misdiagnosis Database to Reduce Cognitive Error" (2018). ICIS 2018 Proceedings. 1.
https://aisel.aisnet.org/icis2018/healthcare/Presentations/1