YIS

This week, you are only submitting your outline, not the full assignment.

Your Outline Must Include:

• At least 5 scholarly references
• Each reference must include a DOI
• If I cannot verify your sources, points will be deducted
• 1–2 clear sentences or bullet points for every required section of the final assignment
• Maximum length: 3 pages (not counting cover page or reference page)
• I will stop reading after page 3
• Must be submitted in APA 7 format- cover page, reference page
• Can't have more than 10% plagiarism or AT text assignment will be submitted via Turnitin.

1. Scenario & Project Instructions

You are the new nurse manager on a Heart Failure/Cardiac step‑down unit.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.You are to identify 3 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.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.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? This question must be answered and supported by scholarly sourcesData to support patient care comes from a variety of sources that contain differing data types- must be included in your final submission [in your outline you may summarize your findings]. 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.As you begin to form your team for your IT projects you question yourself as to who will comprise the team.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.Who are the various team members to consider adding to the team? Identify their roles and contributions to the project. Here you will name and describe their role and function in implementing your projects- be detailed in your paper.Finally 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.

2. IT Projects (3 total)

Identify three IT projects that could improve daily weight compliance for HF patients.Label them clearly:

• IT Project 1: ______
• IT Project 2: ______
• IT Project 3: ______

3. Data Analysis & AI

Briefly explain:

• Supervised vs. unsupervised machine learning
• Why AI requires interdisciplinary teams and resources

4. Health Data Literacy

During your RCA, you discover poor health data literacy among staff.You must answer:

• Why is health data literacy essential for nurse leaders?
• Support with scholarly sources.

5. Data Sources & Data Types

Your final paper must describe:

• Different sources of clinical data
• Different data types
• How these data types are used
• What resources are needed to complete your IT projects

(For the outline, you may summarize these points.)

6. Project Team Members

Identify who should be on your IT project team, including:

• Frontline staff
• Data analyst (ETL processes)
• Statistician (model building, outcomes analysis)
• Any additional roles needed
• Explain each member’s role and contribution.

7. Follow‑Up & Sustainability

All QI projects require:

• Ongoing review
• Revision over time
• Planning for follow‑up from the beginning

Explain how you will monitor and sustain your projects.DUE DATE JULY 6, 2026