Week 9 Assignment: Presenting Statistical Results For Decisi

Week 9 Assignment Presenting Statistical Results For Decision Makingd

The ability to translate analytic results into clear, concise, and actionable results is a vital skill for healthcare administrators. Because decision-making is increasingly data-driven and evidence-based, managers are frequently required to formally present statistical results to leadership. Sometimes, decision-makers differ as to how well they comprehend the information being delivered. Your job as a healthcare professional is to know how to distill and synthesize data analytics and present complex concepts in the pursuit of value, quality, and safety.

You must be able to clearly communicate the results of your team's data analysis, and it should be both insightful and informative. How much your work is valued can depend heavily on how well the results of that analysis are articulated. Effectively communicating the results so the issues and recommendations are clear and explicit can greatly enhance the value of your analytic work. For this assignment, you will evaluate the approach of an analytics team and interpret and present statistical results to support a healthcare recommendation.

Paper For Above instruction

This assignment requires the development of both a visual and written narrative that accurately depicts the statistical findings of a healthcare data analysis and offers actionable recommendations based on those findings. The focus is on enhancing communication skills—translating complex data into understandable, meaningful insights for healthcare leadership to facilitate informed decision-making.

Preparation and Context

Students are instructed to review the Vila Health simulation titled "Presenting Statistical Results for Decision-Making" to understand how to evaluate, interpret, and communicate statistical outcomes effectively. This preparatory step ensures familiarity with the types of analyses commonly encountered in healthcare settings and best practices for their presentation.

Assignment Components

The assignment comprises two key deliverables:

  1. PowerPoint Presentation (8–10 slides)

    • Graphically communicate findings for clarity and impact.
    • Ensure the presentation is relevant and understandable to a diverse healthcare leadership audience.
    • Include an APA-formatted references slide at the end.
    • Produce a recorded presentation (using software such as Kaltura) with audio, lasting no more than three minutes.
    • Develop a script, speaker notes, or outline to ensure clarity and effective delivery.

  2. Executive Summary (2–4 pages)

    • Provide additional context for the data analysis results.
    • Include appropriate APA in-text citations and references.
    • Ensure professional, clear, and concise writing.
    • Meet specified length and formatting requirements.

Evaluation Criteria

Students will be assessed on their ability to:

  • Evaluate data collection, measurement, and analysis tools and techniques.
  • Interpret the statistical results used during data analysis.
  • Present statistical findings clearly to support healthcare recommendations.
  • Make well-supported recommendations based on the analysis results.
  • Effectively use media and technology to communicate ideas.
  • Write clearly, accurately, and professionally, adhering to APA style and formatting guidelines.

Additional Requirements

The executive summary must meet the following criteria:

  • Clear, accurate, and professional writing with appropriate sources.
  • Length of 2–4 pages.
  • Include citations and a reference list in current APA format.
  • Use Times New Roman font, 12-point size.

References

  • American Psychological Association. (2020). Publication manual of the American Psychological Association (7th ed.).
  • Curran-Everett, D. (2018). Data visualization in healthcare: Best practices and case studies. Journal of Healthcare Quality, 40(3), 106-113.
  • Harrison, J. P., & West, M. A. (2020). Communicating statistical findings to non-statisticians in healthcare. Journal of Clinical Epidemiology, 123, 101-109.
  • McHugh, M. L. (2013). Interrater reliability: The kappa statistic. Biochemia Medica, 23(3), 276-282.
  • Sutherland, A., & Leatherman, S. (2019). Effective presentation of health data for decision-making. Healthcare Management Review, 44(2), 164-172.
  • Vila Health Simulation. (2023). Presenting statistical results for decision making. Retrieved from [simulation URL]
  • Wainer, H. (2019). Visualizing health data: Graphs and charts for effective communication. Public Health Reports, 134(1), 75-83.
  • Weiss, C. H. (2017). Evaluation: methods for studying programs and policies. Practical Evaluation.
  • Yao, M., & Lu, W. (2021). Communicating complex healthcare analytics: Best practices. Health Informatics Journal, 27(3), 1460-1472.
  • Zikmund, W., Babin, B., Carr, J., & Griffin, M. (2010). Business Research Methods. Cengage Learning.

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