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