Summary
In this podcast, Care Opinion Chief Executive James Munro speaks to Alex Gillespie and Tom Reader of the Department of Psychological and Behavioural Science at LSE about their research paper 'Online patient feedback as a safety valve: An automated language analysis of unnoticed and unresolved safety incidents'.
Their research analysed over 146,000 stories on Care Opinion using an automated machine-learning approach. Key findings included:
- automated analysis can reliably detect patient safety issues reported by patients.
- online patient safety concerns are associated with hospital level mortality.
- staff reported patient safety concerns are not associated with hospital level mortality.
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