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

SKU: JNS042
$13.75

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

Coaching in Nursing - Online Course

Whether you are looking for a coach or looking to become a coach, this course will provide skills and knowledge to assist you.

$0.00

Implementation and Evaluation of a Standardized Nurse-Administered Assessment of Functional and Psychosocial Issues for Patients in Acute Care - Online Course

This course is available for FREE to Sigma Members.
The objective of this article from Worldviews of Evidence-Based Nursing is to implement and evaluate the interRAI AC assessment system using a multi-strategy approach based on the integrated Promoting Action on Research Implementation in Health Services (i-PARIHS) framework.

$13.75