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PSNet: Patient Safety Network
Journal Article

Identifying hospitalized patients at risk for harm: a comparison of nurse perceptions vs. electronic risk assessment tool scores.

Stafos A, Stark S, Barbay K, et al. The American journal of nursing. 2017;117:26-31.

This study compared nurses' identification of patients at risk for harm to an electronic predictive model and found that nurses more commonly identified psychological or social risks as relevant to harm. The nurses did not identify some patients whom the predictive model deemed high risk in cases where the risk had been incorporated into the plan of care. The authors suggest that nurse perceptions could inform more accurate predictive models, though neither approach was tested against an actual safety outcome.