Can machine learning assist in reporting safety events In hospitals?
No73%
Yes26%
314 PARTICIPANTS
4.8k views1 Upvote1 Comment
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What AI staffing or training approach has your org had the most success with?
Training current staff in AI
Outsourcing AI staff 100%
Contracting with temp staff for specific projects
Hiring an AI leader/C-level staff
Working with third-party consultants
Deploying AI tools and helping staff learn as they go
Something else (comment below)
What are the most unexpected obstacles you've encountered during the adoption of automation?
Increased compleixty23%
Technology infrastructure40%
Cultural changes40%
Workforce changes36%
Reduced governance18%
Cost of Implementation29%
Operating costs24%
Loss of control12%
Lack of IT-readiness16%
Regulatory reporting problems8%
Uncertain payback7%
Lack of transparency3%
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.