Note: The Q&A transcription has been paraphrased to be more succinct.
The recorded presentation may be viewed here.
Q: (Johmarx Patton)
If there were no data standards in health professions education, what data standards do you think would be needed to enable the type of work described in your presentation?
A: (Hugh Stoddard)
From an educational point of view, medical school cohorts are trained to essentially perform the same job from anywhere in the world. Without data standards, each medical school would exist in its own ecosystem. However, students do not receive their entire training from within only one ecosystem. They are moving along the spectrum of medical schools, residency programs, fellowships, hospital systems or private practice, as well as continuing education. At the largest level, data standards enable the ability to identify each student, then monitor and drive their education not just through medical school, but throughout their career. This is a critical goal of the profession.
A: (Jess Bowling)
From a technical standpoint, it would be ideal to have data standards in place to enable some level of automaticity and surveillance to verify the accuracy of the data. More specifically, artificial intelligence systems are not perfect and known to amplify perceptual biases to some extent. Having more data standards in place can help identify potential biases in DNN and AI’s learning and perception to ensure all students are treated equitably.
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