As healthcare continues to be data-driven, the analysis of this data is vital to organizations. This 6-lesson course will educate students’ primarily in data analysis. A review of qualitative and quantitative analysis and their importance to valid data analysis will be reviewed. Various organizational processes may change based upon the analyzed results. This course will identify specific examples that may be impacted.
It is a refresher course for CHDA exam candidates who already have the appropriate experience, educational background, and knowledge to sit for the exam.
Upon successful completion of the course, the student will be able to:
- Differentiate between quantitative and qualitative analysis
- Identify specific data that may be analyzed in an organization
- Analyze specific data elements and recommend improvements based upon the analysis
- Analyze health data using appropriate testing methods to generate findings for interpretation
- Interpret analytical findings by formulating recommendations for clinical, financial, and operational processes
- Apply basic data mining techniques to identify causes of variation
- Qualitative versus Quantitative Analysis
- Data Sources and Data Elements
- Basic Analytic Techniques
- Using Statistical Inference to Turn Data into Information
- Basic Data Mining Techniques
- Interpreting Analytical Results
AHIMA certifications are administered by the AHIMA Commission on Certification (COC). The COC does not contribute to, review, or endorse any review books, review sessions, study guides, or other exam preparatory activities.
Use of this product for AHIMA certification exam preparation in no way guarantees an exam candidate will earn a passing score on the exam.
Click the REQUIREMENTS and PROGRAM DETAILS tabs for additional information.