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Posted: March 24th, 2022
Statistical Analyses for Organizational Decision-Making in Healthcare
Statistical Analyses for Organizational Decision-Making in Healthcare
Unit outcomes 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.
Course outcomes assessed in this Assignment:
HS312-6: Explain the relationship between health data analytics and business decisions to improve a specific healthcare initiative.
AHIMA CEE Curriculum Mapping
Domain Subdomain Competency
Domain III. Informatics, Analytics and Data Use Subdomain III.C. Analytics and Decision Support 1. Apply analytical results to facilitate decision-making
Domain III. Informatics, Analytics and Data Use Subdomain III.C. Analytics and Decision Support 3. Recommend organizational action based on knowledge obtained from data exploration and mining
Domain III. Informatics, Analytics and Data Use Subdomain III.C. Analytics and Decision Support 4. Analyze clinical data to identify trends that demonstrate quality, safety, and effectiveness of healthcare
Domain III. Informatics, Analytics and Data Use Subdomain III.C. Analytics and Decision Support 6. Evaluate administrative reports using appropriate software
Domain III. Informatics, Analytics and Data Use Subdomain III.D. Health Care Statistics 1. Interpret inferential statistics
Domain III. Informatics, Analytics and Data Use Subdomain III.D. Health Care Statistics 2. Analyze statistical data for decision making
Domain III. Informatics, Analytics and Data Use Subdomain III.E. Research Methods 2. Plan adherence to institutional Review Board (IRB) processes and policies
Assignment Requirements
· I need help writing my essay – research paper complete using Microsoft Word and PowerPoint–as indicated in the instructions.
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