13 Sep You are the new nurse manager on a Heart Failure/Cardiac stepdown unit

1. Scenario & Project Instructions

You are the new nurse manager on a Heart Failure/Cardiac stepdown 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 sources

Data 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. FollowUp & Sustainability

All QI projects require:

· Ongoing review

· Revision over time

· Planning for followup from the beginning

Explain how you will monitor and sustain your projects.

***Each of these numbered sections make great level 1 APA headings for your paper- which are required at this level.

✅ What Will Be Due in WEEK 5: Your FINAL PAPER

In Week 5, you will submit your full Leadership in Quality Improvement (QI) Paper.

Your outline this week is meant to help you prepare for this larger assignment.

📄 Final Paper Requirements (Week 5 Submission):

· Length: 7–9 pages (not including cover page or references)

· Format: APA 7th edition

· Minimum 5 scholarly references (with DOIs)

· Graduatelevel writing

· Must include:

· Introduction

· Welldeveloped sections answering all assignment questions

· Conclusion that synthesizes key points

· APA headings, cover page, reference page

· Ensure you review the rubric of assignments prior to submission

🎯 Why the Outline Matters

Your outline:

· Helps you organize your ideas early

· Ensures you are covering all required sections

· Allows you to receive feedback before the final paper is due

· Counts toward your success on a paper worth 18% of your grade