Can machine learning assist in reporting safety events In hospitals?
No73%
Yes27%
317 PARTICIPANTS
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Were you blind sided by any unexpected costs related to AI in the first half of this year? If you could go back to the start of the year, what would you do differently?
IT19%
Data and analytics22%
Infosec10%
Privacy5%
GRC9%
Cross-functional working group/center of excellence33%
Something else (explain in a comment)2%
Given MIT's 95% failure study and Sam Altman's bubble comments, which AI consulting or advisory services have generated the expected return on investment?
Customizing AI solutions for your use case.100%
Testing AI solutions for bias and fairness prior to production rollout
Researching and helping to select AI tools for your organization.
Guidance that an exciting new technology or product isn't ready for production use.
Something else.
A big thank you to all of you for responding to my poll.
At Johns Hopkins, based on the work we have done internally, every minute that a nurse or a doctor doesn't have to spend on reporting an adverse event is a minute they can use to review, analyze, and solve for systemic issues that cause adverse events. We believe that ML algorithms can free up clinician time, contribute to reduced burnout, and allow them to operate at the top of their license.