Assignment
Unit outcome addressed in this Assignment:
? Describe the health initiative addressed.
? Identify credible data sources.
? Choose appropriate statistical measures.
? Present an action plan based on decisions from data analysis.
? Analyze a given data set for the purpose of making a decision.
? Prepare a PowerPoint presentation on the best action based on clinical data.
Assignment Requirements
? Please complete using Microsoft Word and PowerPoint--as indicated in the instructions.
? The body of your Microsoft Word document should be at least 1500 words in length.
? Your PowerPoint presentation should be at least 10 slides--excluding the title slide and references.
? Quoting should be less than 10% of the entire paper and presentation. Paraphrasing is necessary.
? Students must cite and reference at least 4 credible sources
Instructions
Imagine that you are an executive for a health organization. As part of your role within the healthcare leadership team, you are tasked with analyzing organizational data for decision-making purposes. For this assignment, you will obtain raw data, analyze it, and make recommendations for organizational decisions. Please follow the instructions below in completion of this multi-part
Part 1
Competency Assessed
Apply analytical results to facilitate decision-making
Instructions
Apply analytical results to facilitate decision-making Create a presentation on your exploratory data analysis of mined data sets for an executive healthcare team. Include a summary of your analysis, statistical tables, and data visualizations. Conclude your presentation on the importance of executive dashboards.
Part 2
Competency Assessed
Recommend organizational action based on knowledge obtained from data exploration and mining
Instructions
Based on your analysis, make three recommendations for evidence-based decision-making relevant for organizational action or change.
Part 3
Competency Assessed
Analyze clinical data to identify trends that demonstrate quality, safety, and effectiveness of healthcare
Instructions
Examine the clinical data to identify trends related to healthcare (1) quality, (2) safety, and (3) effectiveness
Part 4
Competency Assessed
Evaluate administrative reports using appropriate software
Instructions
Obtain a raw data set from www.healthdata.gov and explore the data set using SPSS. Generate analytical outputs from SPSS that include the appropriate selection of both descriptive and inferential statistics. If you are not able to process one data set using descriptive and inferential statistics, then select one data set for descriptive statistics and another data set for inferential statistics. Generate tables in SPSS that reflect your statistical analyses and include at least three appropriate data visualizations.
Part 5
Competency Assessed
Interpret inferential statistics
Instructions
Compose a discussion in which you evaluate the findings from your analyses--interpreting the descriptive and inferential statistics.
Part 6
Competency Assessed
Analyze statistical data for decision making
Instructions
Within your presentation, analyze the statistical data for decision-making by organizing various presentations of data visualizations--highlighting multiple perspectives on the same topic.
Part 7
Competency Assessed
Plan adherence to Institutional Review Board (IRB) processes and policies
Instructions
Demonstrate your understanding of IRBs by earning a certification on national guidelines regarding human-subjects research. Begin by first creating an account. Once you have completed the Readings for each module, complete the quizzes and obtain the training certificate. You will take a screenshot of your certificate of completion and insert this image into this paper. Following a screenshot of your earned certificate in protecting human subjects, plan adherence to Institutional Review Board (IRB) processes and policies by reflecting upon the concepts of (1) Respect, (2) Justice, (3) Nonmaleficence, and (4) Beneficence by providing (A) your interpretation of the concept, (B) an example of complying with the principle within healthcare, and (C) connecting each concept with the characteristics of quality data.
Attachment:- Reading.rar