Tableau For Healthcare

Übersicht

Tableau For Healthcare is a course focused on what quality is, why we care about it in healthcare, and how we can best use Tableau to analyze it using different topics like readmissions, ED utilization, mortality, and hypertension management. Please note that while Tableau functionality will be discussed, this is not meant to be an intro to Tableau course - instead it's focused on the leveraging Tableau to analyze quality improvement within health systems and hospitals.

Lehrplan

• Introduction to Quality in Healthcare
Definition and importance of quality in healthcare
Key metrics for quality assessment
• Overview of Tableau for Healthcare Analysis
Role of Tableau in healthcare data analytics
Overview of Tableau tools and functionalities specific to healthcare
• Analyzing Readmissions
Importance of readmissions as a quality metric
Using Tableau to identify trends and patterns in readmission data
• Emergency Department (ED) Utilization
Impact of ED utilization on healthcare quality
Visualizing ED utilization data and identifying areas for improvement
• Mortality Analysis
Understanding mortality rates as a quality outcome
Conducting mortality data analysis using Tableau
• Hypertension Management
Significance of hypertension in quality care metrics
Utilizing Tableau for tracking and managing hypertension outcomes
• Advanced Data Visualization Techniques
Best practices for creating impactful visualizations in healthcare
Advanced Tableau functionalities for healthcare data storytelling
• Case Studies and Applications
Real-world applications of Tableau for quality improvement
Analyzing healthcare quality initiatives with Tableau
• Project: Creating a Quality Improvement Dashboard
Integrating course concepts into a practical Tableau project
Presentation and feedback session for peer and instructor review
• Course Summary and Next Steps
Recap of key concepts
Resources for further learning and development

---

Unterrichtet von

Mark Connolly

---

Fachgebiete

Data Science