Can machine learning assist in reporting safety events In hospitals?
No54%
Yes46%
183 PARTICIPANTS
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CTO in Software, 201 - 500 employees
Without a doubt - Technical Debt! It's a ball and chain that creates an ever increasing drag on any organization, stifles innovation, and prevents transformation.Before data collection44%
When collecting data36%
When analyzing collected data18%
679 PARTICIPANTS
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.