Leadership in Quality Improvement
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.
Important Note on the Use of AI Tools
Students may choose to use AI platforms to assist with grammar checks or writing guidance, such as Grammarly. While these tools can be helpful for improving clarity and mechanics, it is essential that all submitted work remains your own. AI-generated text should be treated as a guide, not a substitute for your original writing. Copying and pasting directly from an AI platform, even if done innocently, constitutes a violation of academic honesty.
If you would like additional support in strengthening your writing, please take advantage of the Writing Studio and the Library resources, where you can receive individualized assistance in developing your ideas, refining your grammar, and ensuring your work reflects your own academic voice. These services are designed to help you grow as a writer and succeed with integrity.
Please review the rubric prior to submitting- remember this assignment is 18% of your grade.
REFERENCES Must have DOI Numbers for me to look them up- If I am unable to verify the references points will be deducted.
Great resource to assist you: Reference List: Author/Authors – Purdue OWL® – Purdue University
This paper should be minimally 7-9 pages, but NO MORE than 9 pages, not counting references and cover page.
Attempt feedback
Changes for Final Submission
The outline contains four pages of content, exceeding the three-page maximum. Although most required sections appear within the first three content pages, the conclusion extends the outline to a fourth page and therefore does not meet the stated length requirement.
Project 3 focuses on a post-discharge patient reminder application, while the assignment centers on inpatient daily-weight compliance on a cardiac step-down unit. Revise this project or explain more directly how it improves unit operations. De Lathauwer et al. (2025) supports comprehensive remote heart-failure monitoring, but it does not establish that a reminder application alone reduces hospitalization and mortality. Likewise, Hariyati et al. (2024) identifies differences in digital literacy but does not directly support the claim that stronger informatics skills increase documentation consistency. Ensure each conclusion remains within the findings of the cited study.
The Data Sources and Data Types section needs further development. It names the EHR, RPM devices, and audit logs but does not clearly classify structured, unstructured, categorical, continuous, and time-series data or explain how each will be analyzed. Add resources such as secure storage, data dictionaries, cybersecurity oversight, device integration, software, training time, and ongoing technical support. The team would also benefit from including quality-improvement, biomedical engineering, privacy, cardiology, and patient representatives.
Correct the contradictory sentence, “Even the best systems can be designed to be adopted without this literacy,” which should indicate that successful adoption may not occur without adequate literacy. Also revise the double period after Project 1, “RPM reading” to “RPM readings,” “patients becoming discharged” to “patients preparing for discharge,” and “if it is approachable from the outset” to “if it is approached systematically from the outset.” Ensure APA Level 1 headings are centered and bold in the final paper.
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Rubric
Rubric Result
87.5/ 100
- Learning Activity Question
50% of total result
37.5
Satisfactory
The learning activity questions are not answered comprehensively. All the following elements are included: a. The problem or issue you are presented with no supportive evidence and somewhat clearly explained, and the outline follows some of the established formats for outlines. There is a vague introduction to the problem being presented.
Criterion Feedback
Project 3 focuses on a post-discharge patient reminder application, while the assignment centers on inpatient daily-weight compliance on a cardiac step-down unit. Revise this project or explain more directly how it improves unit operations. De Lathauwer et al. (2025) supports comprehensive remote heart-failure monitoring, but it does not establish that a reminder application alone reduces hospitalization and mortality. Likewise, Hariyati et al. (2024) identifies differences in digital literacy but does not directly support the claim that stronger informatics skills increase documentation consistency. Ensure each conclusion remains within the findings of the cited study.
The Data Sources and Data Types section needs further development. It names the EHR, RPM devices, and audit logs but does not clearly classify structured, unstructured, categorical, continuous, and time-series data or explain how each will be analyzed. Add resources such as secure storage, data dictionaries, cybersecurity oversight, device integration, software, training time, and ongoing technical support. The team would also benefit from including quality-improvement, biomedical engineering, privacy, cardiology, and patient representatives.
- Reference Page REFERENCES have DOI Numbers and are searchable via the DOI number
25% of total result
25
Excellent
Utilizes at least 5 sources and all sources are current within 5 years. Cited following APA format. All REFERENCES have DOI Numbers
- Grammar, Spelling, APA, Page Requirements
25% of total result
25
Excellent
Minimal spelling and/or grammar mistakes. APA format is maintained. Page requirement is maintained. Similarity index and AI index 20% or lower.