TY  - GEN
N2  - Algorithmic bias refers to the biases originating from the use of artificial intelligence (AI). With AI being increasingly used in healthcare, clinicians need to be able to determine when and how to use AI systems to minimize the bias passed into patient care. However, clinicians do not currently receive sufficient training on algorithmic bias. Training clinicians on the use of AI should be a priority and it is imperative for that training to include algorithmic bias which disproportionately harms patients from marginalized populations. Although the literature on algorithmic bias in healthcare is extensive, there is little guidance on what clinicians need to know. This study aimed to extract concepts of algorithmic bias in healthcare from the literature to guide the development of training curricula.
DO  - 10.6083/9593tv964
DO  - DOI
AB  - Algorithmic bias refers to the biases originating from the use of artificial intelligence (AI). With AI being increasingly used in healthcare, clinicians need to be able to determine when and how to use AI systems to minimize the bias passed into patient care. However, clinicians do not currently receive sufficient training on algorithmic bias. Training clinicians on the use of AI should be a priority and it is imperative for that training to include algorithmic bias which disproportionately harms patients from marginalized populations. Although the literature on algorithmic bias in healthcare is extensive, there is little guidance on what clinicians need to know. This study aimed to extract concepts of algorithmic bias in healthcare from the literature to guide the development of training curricula.
AD  - Oregon Health and Science University
T1  - Algorithmic bias in the clinical setting: what do clinicians Need to know?
DA  - 2022
AU  - Collins, Benjamin
L1  - https://digitalcollections.ohsu.edu/record/9527/files/Collins-Benjamin-OHSU-ResearchWeek-2022.pdf
PB  - Oregon Health and Science University
LA  - eng
PY  - 2022
ID  - 9527
L4  - https://digitalcollections.ohsu.edu/record/9527/files/Collins-Benjamin-OHSU-ResearchWeek-2022.pdf
KW  - Artificial Intelligence
KW  - Bias
KW  - Education, Medical
KW  - Diversity, Equity, Inclusion
KW  - Ethics, Medical
KW  - algorithmic bias
TI  - Algorithmic bias in the clinical setting: what do clinicians Need to know?
Y1  - 2022
L2  - https://digitalcollections.ohsu.edu/record/9527/files/Collins-Benjamin-OHSU-ResearchWeek-2022.pdf
LK  - https://digitalcollections.ohsu.edu/record/9527/files/Collins-Benjamin-OHSU-ResearchWeek-2022.pdf
UR  - https://digitalcollections.ohsu.edu/record/9527/files/Collins-Benjamin-OHSU-ResearchWeek-2022.pdf
ER  -