data review project report and presentation

Data Review Project Report and Presentation ***USE TEMPLATES ATTACHED***
GRADING RUBRIC MUST BE FOLLOWED
Write a data review project report and record a client presentation. There are no page or slide limits for this assessment but must cover the topic thoroughly and according to grading rubric
Preparation
This assessment is in two parts:

Part 1: Project Report.

This report should be succinct, substantive, and written for a hypothetical executive leadership team. It is not a lengthy academic paper.

Part 2: Project Report Presentation.

This presentation is an overview of the project, also intended for an executive leadership team.

Presentation Tools
You may use Kaltura Media, Adobe Connect, or other technology of your choice for your audio recording.

If using Kaltura Media, refer to the Using Kaltura tutorial for directions on recording and uploading your video in the courseroom.
If using Adobe Connect, refer to the instructions and tutorials available from the Using Adobe Connect support page.

Note: If you require the use of assistive technology or alternative communication methods to participate in this activity, please contact DisabilityServices@capella.edu to request accommodations.
Requirements
Part 1: Project Report
Develop your data review project report. Use the Data Review Project Report Template, linked in the Resources of this unit. This template is different from the Data Review Project Proposal Template used in Assessment 2. Authoritative sources should be integrated into the Evidence-Based Recommendations and Conclusion sections of the report.
Provide a minimum of three visual data summaries (for example, pie chart, graph, spreadsheet, and process map), two evidence-based recommendations from the literature, and one new insight. Place these additions in your document under the headings: Data Display, Recommendations, and Conclusion.
Add, in an appendix, the balanced scorecard table that you have created in Assessment 2.
Note: The requirements outlined below correspond to the first five grading criteria in the scoring guide. Be sure that your project report addresses each point, at a minimum. You may also want to read the Data Review Project Report and Presentation Scoring Guide to better understand how each criterion will be assessed.

Align a problem statement, performance indicators, and outcome measures with an organizational strategic need.

What additional information would strengthen the alignment and make it more explicit?

Summarize the key findings from a review of current and relevant authoritative literature.

Be concise and substantive. Provide sufficient information in the summary to adequately cover the selected topic.
Consider adding additional best practice sources to your initial review of the current literature.

Articulate the value of a project to an organization.

Consider a strategic systems perspective when contemplating value to the organization.
Express main points, assertions, and conclusions clearly and effectively.
Be sure you have evidence to support your conclusions.

Analyze performance data and trends.

Present your visual data displays, along with a concise analysis.
Describe the significant findings, trends, and any new insights evident from the data summaries.
Determine if there are any limitations to your findings, obstacles to collection or interpretation of data, or potential for bias.
Ensure your data is valid and reliable.

Provide evidence-based recommendations, a conclusion for problem resolution, and organizational transformation.

Identify a short list of interventions to solve the problem, supported by current (published within the past 3–5 years) authoritative literature.
Consider how legal, regulatory, ethical, patient safety, and organizational factors are related to the problem.
Make realistic recommendations that are within the organization’s capability. They should not be based upon uncertain funding sources such as government grants, which might be discontinued.
Make your recommendations sufficiently compelling to convince the target audience to implement them.
Include, more importantly, a clear statement about how the project added value to the organization and aligned with the organization’s strategic direction and goals.

Combine clear, coherent, and original writing, in APA style, with relevant and credible evidence from the scholarly and professional literature.

Apply correct APA formatting to your source citations.
Consider how or why a particular piece of evidence supports your main points, claims, or conclusions.
Make sure your supporting evidence is clear and explicit.

PART 2: PROJECT REPORT PRESENTATION
Provide a concise overview of your project in a recorded slide presentation. Use the Data Review Project Report Presentation Template, linked in the Resources of this unit.
Note: The requirements outlined below correspond to the sixth grading criterion in the scoring guide. Be sure your presentation addresses each point, at a minimum. You may also want to read the Data Review Project Report and Presentation Scoring Guide to better understand how the following criterion will be assessed.

Present a concise, substantive project overview to decision makers.

RESOURCES:
Interpreting Performance Data and Trends
This article provides a step-by-step guide to analyzing performance data, comparing it to best practices and benchmarks, and translating it into recommendations for solutions and improvement strategies.

Morrissey, W. W., Pryor, R. W., & Krishnaswamy, A. (2016, November 17). Using data and analytics to improve clinical and financial performance. Retrieved from http://www.hfma.org/Leadership/Archives/2016/Fall/…

This article promotes the use of clinical dashboards to manage information related to health outcomes.

Byrnes, J. (2015). Measure quality to create value. Healthcare Financial Management, 69(3), 100–101.

Performance Measurement and Organizational Strategy
This article describes how a health care organization revamped their performance measurement system.

Conger, M., Knuth, M., & McDonald, J. (2014). Creating a culture for value measurement. Healthcare Financial Management, 68(8), 54–60, 62.

This article recommends six steps that organizations should take when initiating performance improvement programs.

Brown, B., & Falk, L. H. (2014). Embarking on performance improvement. Healthcare Financial Management, 68(6), 98–103.

A brief look at the issue of patient safety culture and at some of the questions associated with culture change.

Trbovich, P. L., & Griffin, M. (2016). Measuring and improving patient safety culture: Still a long way to go. BMJ Quality and Safety, 25(3), 209–211.

Identifies top quality management practices and key factors in successful implementation.

Yeh, T.-M, & Lai, H.-P. (2015). Evaluating the effectiveness of implementing quality management practices in the medical industry. The Journal of Nutrition, Health & Aging, 19(1), 102–112.

Evidence-Based Recommendations
This site contains information on evidence-based care.

Institute for Healthcare Improvement. (n.d.). Evidence-based care bundles. Retrieved from http://www.ihi.org/Topics/Bundles/Pages/default.as…

This article contends that successful expansion of the Baldridge model would improve health care quality and satisfaction among providers.

Griffith, J. R. (2017). An organizational model for excellence in healthcare delivery: Evidence from winners of the Baldrige Quality award. Journal of Healthcare Management, 62(5), 328–341.

Examines the efficacy of change agency in improving evidence-based health care.

McCormack, B., Rycroft-Malone, J., DeCorby, K., Hutchinson, A. M., Bucknall, T., Kent, B., . . . Wilson. V. (2013). A realist review of interventions and strategies to promote evidence-informed healthcare: A focus on change agency. Implementation Science, 8(1), 1–12.

Addresses the issues of value and determining the need to develop quality indicators.

Stelfox, H. T., & Straus, S. E. (2013). Measuring quality of care: Considering conceptual approaches to quality indicator development. Journal of Clinical Epidemiology, 66(12), 1320–1327.

 
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