TY  - GEN
N2  - With the increasing utilization of artificial intelligence/machine learning tools in healthcare, there has been increasing concern that the algorithms used to implement these tools have built-in biases (algorithmic bias). Currently, algorithmic bias is poorly understood by clinicians who have an insufficient opportunity for training on this topic, leading to a risk of harm for patients when AI systems are used to provide clinical care. To improve awareness and understanding among clinicians regarding algorithmic bias, an online interactive module was developed based on a literature review with the content including case studies modeled on real-life AI tools. This module was deployed online while feedback is being received and analyzed in order to improve training in this area.
DO  - 10.6083/rx913q618
DO  - DOI
AB  - With the increasing utilization of artificial intelligence/machine learning tools in healthcare, there has been increasing concern that the algorithms used to implement these tools have built-in biases (algorithmic bias). Currently, algorithmic bias is poorly understood by clinicians who have an insufficient opportunity for training on this topic, leading to a risk of harm for patients when AI systems are used to provide clinical care. To improve awareness and understanding among clinicians regarding algorithmic bias, an online interactive module was developed based on a literature review with the content including case studies modeled on real-life AI tools. This module was deployed online while feedback is being received and analyzed in order to improve training in this area.
AD  - Oregon Health and Science University
T1  - Development of an online training module for clinicians on algorithmic bias in healthcare
DA  - 2022
AU  - Collins, Benjamin X.
L1  - https://digitalcollections.ohsu.edu/record/9957/files/Collins.Benjamin.2022.pdf
PB  - Oregon Health and Science University
PY  - 2022
ID  - 9957
L4  - https://digitalcollections.ohsu.edu/record/9957/files/Collins.Benjamin.2022.pdf
KW  - Bias
KW  - Delivery of Health Care
KW  - Machine Learning
KW  - Artificial Intelligence
KW  - medical education
TI  - Development of an online training module for clinicians on algorithmic bias in healthcare
Y1  - 2022
L2  - https://digitalcollections.ohsu.edu/record/9957/files/Collins.Benjamin.2022.pdf
LK  - https://digitalcollections.ohsu.edu/record/9957/files/Collins.Benjamin.2022.pdf
UR  - https://digitalcollections.ohsu.edu/record/9957/files/Collins.Benjamin.2022.pdf
ER  -