Use of Data Sets
A data set can be defined as an organized collection of data. Generally, they cover one topic. Information within the data set relates to one another, and relevant data sets are created through categories of certain types of data.
Databases are different from data sets in that they are larger and contain more data. Databases can also cover broader topics.
There are different types of data sets. One example is numerical, in which the data is comprised of numbers. Categorical data sets can contain characteristics of a population or object. Bivariate looks at the relationship between two points of data, and multivariate examines more than two.
The Center for Disease Control and Prevention (CDC) has a helpful website to explore data sets on a variety of topics Data Sets | CDC Open Technology
Links to an external site: https://open.cdc.gov/data.html
The following article highlights data implications for nursing leaders.
Transforming clinical data into wisdom: Artificial intelligence implications for nurse leaders (oclc.org). SEE ATTACHED ARTICLE
Collaboration Café
This week the Clinical Nurse Leader competency we will focus on how the CNL can use data and data sets to improve patient outcomes, especially when it comes to hospital acquired infections. Describe the benefits of monitoring this important quality measure and how this can assist the organization where you are performing your practicum to improve patient outcomes.
How does your organization collect and monitor data related to hospital acquired infections?
Why is it important for the Clinical Nurse Leader to monitor this type of data?
A substantive post will include the following.
Addresses the Collaboration Café question in a thorough, substantive manner
Demonstrates application of Clinical Nurse Leader competencies
Discusses implications to advanced nursing practice
