Introduction
The ability to translate analytic results into
clear, concise, and actionable results is a vital skill for health care
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 health care
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 health care recommendation.
Preparation
Review the Vila Health: Presenting Statistical
Results for Decision Making simulation to evaluate, interpret, and present
statistical results to support a health care recommendation.
1. Prepare an
8–slide PowerPoint presentation about the statistical results with
recommendations to health system leadership.
·
Ensure the slides graphically communicate the findings. Include
detailed speaker notes.
·
Ensure your presentation is relevant to and easily understood by
everyone in the audience.
§ Include an
APA-formatted references slide at the end of the presentation.
§ Be sure your
written communication is free of errors that detract from the overall message.
Grading Criteria
The numbered assignment instructions outlined
below correspond to the grading criteria in the scoring guide. Presenting
Statistical Results for Decision Making Scoring Guide, so be sure to address
each point. You may also want to review the performance-level descriptions for
each criterion to see how your work will be assessed.
1. Evaluate the data
collection, measurement, and analysis tools and techniques used in the data analysis.
2. Interpret
statistical results used in the data analysis.
3. Present statistical
results used in the data analysis to support a health care recommendation.
4. Recommend a
solution based on results of the data analysis.
5. Use media and
technology to convey ideas and information.
6. Write clearly and
concisely, using correct grammar, mechanics, and APA formatting.
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