Chief Healthcare Executive April 3, 2021
Laura Joszt, MA

Interventions to address and prevent near miss events must be customized to a nurse’s individual risk profile.

Use of big data is allowing researchers to better understand a nurse’s risks for a near miss (NM) based on workload variables. A NM is an event that could have caused harm for the patient but ultimately did not, either because it was caught or simply through chance. NMs are similar to medication errors.

The findings were published in Journal of Nursing Scholarship.

“NMs also occur as the result of the same systemic, organizational, and personal problems that cause errors, but occur more frequently, with estimates of NMs occurring 300 times more frequently than full-fledged errors,” the researchers wrote.

They conducted a literature...

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Topics: Big Data, Nursing, Provider, Survey / Study, Technology, Trends
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