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WIZAPE
Apprentice Mode
10 Modules / ~100 pages
Wizard Mode
~25 Modules / ~400 pages

Healthcare Analytics for Decision-Making: Techniques and Tools
( 25 Modules )

Module #1
Introduction to Healthcare Analytics
Overview of healthcare analytics, importance, and applications
Module #2
Healthcare Data Sources and Types
Understanding different data sources, types, and formats in healthcare
Module #3
Data Preprocessing and Cleaning
Importance of data preprocessing and cleaning, techniques, and tools
Module #4
Descriptive Analytics in Healthcare
Summary statistics, data visualization, and exploratory data analysis
Module #5
Inferential Statistics in Healthcare
Hypothesis testing, confidence intervals, and statistical inference
Module #6
Predictive Analytics in Healthcare
Introduction to predictive modeling, types, and applications
Module #7
Supervised Learning in Healthcare
Regression, logistic regression, decision trees, random forests, and support vector machines
Module #8
Unsupervised Learning in Healthcare
Clustering, dimensionality reduction, and anomaly detection
Module #9
Text Analytics in Healthcare
Text mining, sentiment analysis, and topic modeling
Module #10
Time Series Analytics in Healthcare
Forecasting, trend analysis, and seasonality detection
Module #11
Machine Learning in Healthcare
Deep learning, natural language processing, and computer vision
Module #12
Healthcare Data Visualization
Best practices, tools, and techniques for effective visualization
Module #13
Healthcare Analytics Tools and Technologies
Overview of popular tools and technologies, such as R, Python, Tableau, and Power BI
Module #14
Electronic Health Records (EHRs) and Analytics
EHR systems, data extraction, and analytics applications
Module #15
Claims Data Analysis
Analyzing claims data, coding systems, and reimbursement models
Module #16
Population Health Analytics
Defining population health, data sources, and analytics applications
Module #17
Quality Metrics and Performance Measurement
Defining quality metrics, measurement, and reporting
Module #18
Cost and Resource Allocation Analytics
Analyzing cost, resource allocation, and budgeting in healthcare
Module #19
Clinical Decision Support Systems (CDSSs)
Introduction to CDSSs, types, and applications
Module #20
Healthcare Analytics for Value-Based Care
Analytics applications in value-based care, payment models, and reimbursement
Module #21
Healthcare Analytics for Patient Engagement
Analytics applications in patient engagement, patient portal, and wearables
Module #22
Healthcare Analytics for Population Health Management
Analytics applications in population health management, risk stratification, and care coordination
Module #23
Healthcare Analytics for Research and Development
Analytics applications in clinical trials, research studies, and pharmaceutical development
Module #24
Ethics and Governance in Healthcare Analytics
Ethical considerations, data governance, and regulatory compliance
Module #25
Course Wrap-Up & Conclusion
Planning next steps in Healthcare Analytics for Decision-Making: Techniques and Tools career


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