000009957 001__ 9957
000009957 005__ 20240124114331.0
000009957 0247_ $$2DOI$$a10.6083/rx913q618
000009957 037__ $$aETD
000009957 245__ $$aDevelopment of an online training module for clinicians on algorithmic bias in healthcare
000009957 260__ $$bOregon Health and Science University
000009957 269__ $$a2022
000009957 336__ $$aCapstone
000009957 502__ $$bM.S.
000009957 520__ $$aWith the increasing utilization of artificial intelligence/machine learning tools in healthcare, there has been increasing concern that the algorithms used to implement these tools have built-in biases (algorithmic bias). Currently, algorithmic bias is poorly understood by clinicians who have an insufficient opportunity for training on this topic, leading to a risk of harm for patients when AI systems are used to provide clinical care. To improve awareness and understanding among clinicians regarding algorithmic bias, an online interactive module was developed based on a literature review with the content including case studies modeled on real-life AI tools. This module was deployed online while feedback is being received and analyzed in order to improve training in this area.
000009957 650__ $$aBias$$028791
000009957 650__ $$aDelivery of Health Care$$017452
000009957 650__ $$aMachine Learning$$011449
000009957 650__ $$aArtificial Intelligence$$015109
000009957 6531_ $$amedical education
000009957 691__ $$aSchool of Medicine$$041369
000009957 692__ $$aDepartment of Medical Informatics and Clinical Epidemiology$$041422
000009957 7001_ $$aCollins, Benjamin X.$$uOregon Health and Science University$$041354
000009957 8564_ $$97bc81f80-9917-45ce-b313-61295d5e7359$$s2966027$$uhttps://digitalcollections.ohsu.edu/record/9957/files/Collins.Benjamin.2022.pdf
000009957 905__ $$a/rest/prod/rx/91/3q/61/rx913q618
000009957 909CO $$ooai:digitalcollections.ohsu.edu:9957$$pstudent-work
000009957 980__ $$aTheses and Dissertations