Nurse’s Achilles Heel: Using Big Data to Determine Workload Factors That Impact Near Misses - Online Course


This course is available for FREE to Sigma Members.

The purpose of this article from Journal of Nursing Scholarship was to explore how big data can be used to identify the contribution or influence of six specific workload variables: patient count, medication count, task count call lights, patient sepsis score, and hours worked on the occurrence of a near miss (NM) by individual nurses.

Products specifications
Attribute nameAttribute value
Contact Hours1.10
Customers who bought this item also bought