: Incorporating the Evidence 450 5/2 Envision what the health care system of 2030 might look like? Describe at least two technological advancements that would be available to patients. How would technology help providers make health care decisions? How would patients and families interact with providers from their homes or in their communities? What would health care systems be able to do “in real time?”

DATA-DRIVEN DECISION MAKING
Competencies:
3009.1.1: The Case for Quantitative Analysis – The graduate uses decision-making methods
to develop strategies for organizational decision processes.
3009.1.2: Statistics as a Managerial Tool – The graduate uses a variety of decision-analysis
tools to evaluate alternatives during the decision-making processes.
3009.1.3: More Statistical Tools – The graduate uses quantitative techniques and statistical
tools to identify the most appropriate decision alternatives.
3009.1.4: Quality Metrics and Tools – The graduate analyzes how work is accomplished and
applies quality metrics and tools to increase efficiency, effectiveness, and quality.
3009.1.5: Real World Data-Driven Decisions – The graduate analyzes data from business
intelligence and knowledge-management systems to make appropriate decisions.
3009.1.6: Improving Organization Performance – The graduate uses appropriate data to
improve organizational performance.
Introduction:
In this task, you will identify a real-world business situation that would benefit from a data
analysis in order to find an actionable recommendation. You should select an issue in your
workplace or program specialty area (i.e., IT management, HC management, or MBA). This
business situation and data will be used to complete task 2. Do not work on task 2 until you
have successfully passed task 1, indicating that the business situation and data analysis plan
have been approved.
Use the “Decision Tree Presentation” in the Web Links section to help you identify the
appropriate analysis technique.
Requirements:
Use the attached “Data Driven Decision Making Template” to complete the following prompts:
A. Describe a real-world business situation that could be addressed by collecting and analyzing a
set of data.
Note: Your selected real-world business situation should relate to an issue in your workplace
or program specialty area (i.e., IT management, HC management, or MBA). Your data
analysis will be used to make an actionable business recommendation.
1. Summarize one question or decision relevant to the real-world business situation that you
will answer by collecting and analyzing a set of data.
2. Explain why the situation or question would benefit from a data analysis.
3. Identify data you will need to collect that is relevant to the situation or question.
Note: A sample size of 30 or more is suggested to provide a statistically reliable finding.
4. Describe the data gathering methodology you will use to collect data.
5. Identify an appropriate data analysis technique you will use to analyze this data (e.g.,
linear programming, crossover analysis, t-test, regression).
Taskstream Page 1 of 2
https://folio.taskstream.com/folio/BasicBlankStyle.asp?qyz=&idx=directionsId_1 11/15/2015
a. Explain why the data analysis technique you chose is an appropriate technique to
analyze the data collected.
Note: The “Decision Tree Presentation” in the Web Links section will help you determine the
appropriate analysis technique for your data and business situation.
B. When you use sources to support ideas and elements in a paper or project, provide
acknowledgement of source information for any content that is quoted, paraphrased or
summarized. Acknowledgement of source information includes in-text citation noting
specifically where in the submission the source is used and a corresponding reference, which
includes:
• Author
• Date
• Title
• Location of information (e.g., publisher, journal, or website URL)
Note: The use of APA citation style is encouraged but is not required for this task. Evaluators will
offer feedback on the acknowledgement of source information but not with regard to conformity
with APA or other citation style. For tips on using APA style, please refer to the APA Resources
web link found under General Information/APA Guidelines in the left-hand panel in Taskstream.
Note: No more than a combined total of 30% of a submission can be directly quoted or closely
paraphrased from outside sources, even if cited correctly.
Note: For definitions of terms commonly used in the rubric, see the Rubric Terms web link
included in the Evaluation Procedures section.
File Attachments:
1. Data Driven Decision Making Template link opens in new window
Web Links:
1. Decision Tree Presentation link opens in new window
Taskstream Page 2 of 2
https://folio.taskstream.com/folio/BasicBlankStyle.asp?qyz=&idx=directionsId_1 11/15/2015

DATA-DRIVEN DECISION MAKING
Competencies:
3009.1.1: The Case for Quantitative Analysis – The graduate uses decision-making methods
to develop strategies for organizational decision processes.
3009.1.2: Statistics as a Managerial Tool – The graduate uses a variety of decision-analysis
tools to evaluate alternatives during the decision-making processes.
3009.1.3: More Statistical Tools – The graduate uses quantitative techniques and statistical
tools to identify the most appropriate decision alternatives.
3009.1.4: Quality Metrics and Tools – The graduate analyzes how work is accomplished and
applies quality metrics and tools to increase efficiency, effectiveness, and quality.
3009.1.5: Real World Data-Driven Decisions – The graduate analyzes data from business
intelligence and knowledge-management systems to make appropriate decisions.
3009.1.6: Improving Organization Performance – The graduate uses appropriate data to
improve organizational performance.
Introduction:
In this task, you will identify a real-world business situation that would benefit from a data
analysis in order to find an actionable recommendation. You should select an issue in your
workplace or program specialty area (i.e., IT management, HC management, or MBA). This
business situation and data will be used to complete task 2. Do not work on task 2 until you
have successfully passed task 1, indicating that the business situation and data analysis plan
have been approved.
Use the “Decision Tree Presentation” in the Web Links section to help you identify the
appropriate analysis technique.
Requirements:
Use the attached “Data Driven Decision Making Template” to complete the following prompts:
A. Describe a real-world business situation that could be addressed by collecting and analyzing a
set of data.
Note: Your selected real-world business situation should relate to an issue in your workplace
or program specialty area (i.e., IT management, HC management, or MBA). Your data
analysis will be used to make an actionable business recommendation.
1. Summarize one question or decision relevant to the real-world business situation that you
will answer by collecting and analyzing a set of data.
2. Explain why the situation or question would benefit from a data analysis.
3. Identify data you will need to collect that is relevant to the situation or question.
Note: A sample size of 30 or more is suggested to provide a statistically reliable finding.
4. Describe the data gathering methodology you will use to collect data.
5. Identify an appropriate data analysis technique you will use to analyze this data (e.g.,
linear programming, crossover analysis, t-test, regression).
Taskstream Page 1 of 2
https://folio.taskstream.com/folio/BasicBlankStyle.asp?qyz=&idx=directionsId_1 11/15/2015
a. Explain why the data analysis technique you chose is an appropriate technique to
analyze the data collected.
Note: The “Decision Tree Presentation” in the Web Links section will help you determine the
appropriate analysis technique for your data and business situation.
B. When you use sources to support ideas and elements in a paper or project, provide
acknowledgement of source information for any content that is quoted, paraphrased or
summarized. Acknowledgement of source information includes in-text citation noting
specifically where in the submission the source is used and a corresponding reference, which
includes:
• Author
• Date
• Title
• Location of information (e.g., publisher, journal, or website URL)
Note: The use of APA citation style is encouraged but is not required for this task. Evaluators will
offer feedback on the acknowledgement of source information but not with regard to conformity
with APA or other citation style. For tips on using APA style, please refer to the APA Resources
web link found under General Information/APA Guidelines in the left-hand panel in Taskstream.
Note: No more than a combined total of 30% of a submission can be directly quoted or closely
paraphrased from outside sources, even if cited correctly.
Note: For definitions of terms commonly used in the rubric, see the Rubric Terms web link
included in the Evaluation Procedures section.
File Attachments:
1. Data Driven Decision Making Template link opens in new window
Web Links:
1. Decision Tree Presentation link opens in new window
Taskstream Page 2 of 2
https://folio.taskstream.com/folio/BasicBlankStyle.asp?qyz=&idx=directionsId_1 11/15/2015