Leadership in Quality Improvement
Exercise Instructions
Data to support patient care comes from a variety of sources that contain differing data types. Key activities to use clinical data include identifying the sources of data, understanding the data types and associated methods to work with the data, and identifying the necessary resources to complete your IT project.
The scope of your IT project will determine the level of data access required and the associated data storage needs. Data used in multisite projects will require IRB oversight and often require the execution of a DUA if transferring data outside of the institution or receiving data from another institution.
Identifying and assembling an adequate project team is based on the needs of the project. At a minimum, you will need to include frontline staff that will use the product, a data analyst capable of completing the ETL process on the data, and potentially statisticians to conduct appropriate model building and outcomes analyses.
There are multiple approaches to analyzing data. AI is the latest advance in machine learning approaches that include supervised, in which data is labeled and the algorithm is guided with statistical considerations, and unsupervised, in which unlabeled data is used to infer meaning. While robust, machine learning approaches require interdisciplinary teams and large resource dedication to complete.
All projects require review and potential revision over time. Follow-up and review of implemented programs should be included in the initial planning stages and resource allocation decisions at project inception.
Let us consider the following for the quality improvement project:
You are a new manager on your Heart Failure/Cardiac step-down unit and have high hopes for your floor.
Identify several IT projects that you as the nurse manager of a nursing unit could develop to support the operations of the nursing floor to promote compliance with daily weights for your HF patients.
As you do your RCA analysis you realize that compliance to many of the issues causing experiences on your floor is due to the poor health data literacy within your nursing staff. Why is it important for nurse leaders to develop health data literacy?
As you begin to form your team for your IT projects you question yourself as to who will comprise the team.
Who are the various team members to consider adding to the team? Identify their roles and contributions to the project.
Please review the rubric prior to submitting- remember this assignment is 15% of your grade.
This paper should be minimally 7- pages not counting references and cover page.
Rubric Details
Maximum Score
100 points
- Integration of Knowledge- The paper provides adequate information to aid in searching and implementing the QI project. All key information is summarized from various sections of the paper such as background, local problem, methods, interventions, results, conclusions
25% of total result
- The nature and significance of the local problem is explained. There is a description of the intervention(s) in sufficient detail that others could reproduce it and there are specifics of the team involved in the work described.
25% of total result
- Depth of Discussion and Cohesiveness There is the inclusion of informal or formal frameworks, models, concepts, and/or theories used to explain the problem, any reasons or assumptions that were used to develop the intervention(s), and reasons why the intervention(s) was expected to work
25% of total result
- Sources
7% of total result
Excellent
5 current sources are used and are peer-review journal articles or scholarly books. Sources include both general background sources and specialized sources. Special-interest sources and popular literature and acknowledged as such if they are cited. All websites utilized are authoritative.