Log In info EHRGo Clinical Reminder Data Visualization V (https://web21.ehrgo.com/activity/index/id/13403#!/step10 ) username: QuayCooper password: Beautiful1!!
The goal of data visualization is to extract meaningful insights from data to help identify trends, support decisions, and communicate findings clearly. In healthcare, data visualization can support clinical interpretation, mortality analysis, quality reporting, and organizational decision-making.
Instructions:
Part 1: For this assignment, you will log back into your EHRGo [webpage] account. Navigate to the assignment titled Orientation to Data Visualization IV [webpage].
Use this activity to:
- review the patient case and associated diagnoses
- distinguish between causation and correlation
- identify the listed cause of death
- classify the patient’s death according to the CDC leading cause of death categories
- review and recreate the CDC age-adjusted death rate bar chart
⚠️ Important:
You will not submit screenshots, or files from EHRGo. The simulation is used only as your data source for the academic analysis below.
Part 2: Data Visualization and Analysis
Using data from the EHRGo activity, prepare a PowerPoint presentation that includes the following components:
Presentation Topics
1. Clinical Case Findings
- Identify the diagnosis that caused the admission
- Identify diagnoses that were correlated with the admission
- Explain the difference between causation and correlation using examples from the case
2. Cause of Death Interpretation
- State the listed cause of death
- Identify which CDC category the death falls under
- Briefly explain why this classification is appropriate
3. Data Visualization
Recreate a bar chart representing Age-adjusted Death Rates for Leading Causes of Death in the United States using Microsoft Excel and the provided CDC dataset excerpt.
Make sure the chart includes:
- proper labels
- accurate values
- clear visual presentation
4. Interpretation and Compliance Considerations
Interpret what the bar chart reveals about healthcare trends.
Explain how accurate data visualization supports:
- regulatory reporting
- audit readiness
- organizational decision-making
Discuss the importance of:
- data accuracy
- correction practices
- validation of healthcare data before presentation
5. Recommendations
Provide at least two data-driven recommendations based on your analysis.
Address how improved data visualization and reporting can:
- support compliance
- reduce reporting risk
- improve transparency and accountability
Part 3: Presentation Requirements
- Format: PowerPoint or similar presentation tool
- Slides Required: Minimum of 10 slides, excluding title and reference slides
- Visual Aids: Include your recreated bar chart and any additional visuals you create to support your analysis
- Explanation: Each slide should include concise explanations or speaker notes
Submission Guidelines
✔ Submit only:
- Your PowerPoint presentation
✖ Do not submit:
- EHRGo screenshots
- Raw simulation output
- EHRGo files or exports
2018 AHIMA Entry-Level Competencies Health Information Management Baccalaureate Degree
Domain I. Data Structure, Content, and Information Governance
Competency
I.2. Analyze strategies for the management of information.
I.5 Utilize classification systems, clinical vocabularies, and nomenclatures.
III.6. Manage data within a database management system.
Domain III. Informatics, Analytics, and Data Use
III.2. Analyze technologies for health information management.
III.3. Interpret statistics for health services.
CAHIIM Digital Health Professional Competency
Domain X Data Management and Analytics – Data Management and Analytics
10.2. The learner will be able to demonstrate effective use of data analysis tools for digital healthcare technology.