Can machine learning assist in reporting safety events In hospitals?
No73%
Yes27%
317 PARTICIPANTS
4.8k views1 Upvote1 Comment
Sort by:
Content you might like
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?
Waterfall13%
Prototype18%
Rapid Application Development7%
Agile Scrum45%
Agile Kanban8%
Dynamic System Development1%
Lean Software Development2%
Other .. please add it down2%
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.23%
Testing AI solutions for bias and fairness prior to production rollout69%
Researching and helping to select AI tools for your organization.38%
Guidance that an exciting new technology or product isn't ready for production use.8%
Something else.8%
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.