Healthcare Analytics for Population Health Management
( 30 Modules )
Module #1 Introduction to Population Health Management Defining population health, importance of analytics, and overview of the course
Module #2 Foundations of Healthcare Analytics Key concepts, tools, and techniques in healthcare analytics, including data types and sources
Module #3 Data Sources for Population Health Management Claims data, EHRs, wearables, and other data sources for population health analytics
Module #4 Data Preparation and Quality Data cleaning, preprocessing, and quality control for healthcare analytics
Module #5 Descriptive Analytics for Population Health Summary statistics, data visualization, and exploratory data analysis for population health
Module #6 Predictive Modeling for Risk Stratification Introduction to predictive modeling, risk scores, and patient segmentation
Module #7 Machine Learning for Population Health Supervised and unsupervised machine learning techniques for population health analytics
Module #8 Prescriptive Analytics for Population Health Recommendation systems and prescriptive models for patient interventions
Module #9 Population Health Management Frameworks PCMH, ACO, and other population health management frameworks and their analytics requirements
Module #10 Social Determinants of Health The impact of social determinants on health outcomes and how to incorporate them into analytics
Module #11 Healthcare Cost and Utilization Analysis Analyzing cost and utilization patterns to identify opportunities for improvement
Module #12 Patient Engagement and Experience Analytics Measuring patient engagement, satisfaction, and experience using analytics
Module #13 Care Coordination and Transition Management Analyzing care coordination and transition management to improve patient outcomes
Module #14 Quality Measurement and Reporting Using analytics to measure and report quality metrics for population health
Module #15 Healthcare Policy and Regulatory Environment The impact of policy and regulations on population health management and analytics
Module #16 Data Governance and Ethics in Healthcare Analytics Best practices for data governance and ethics in population health management
Module #17 Case Studies in Population Health Analytics Real-world examples of healthcare analytics in population health management
Module #18 Implementing Healthcare Analytics in Practice Practical considerations and strategies for implementing analytics in population health management
Module #19 Effective Communication of Analytics Insights Communicating analytics results to stakeholders, including clinicians and executives
Module #20 Evaluating the Effectiveness of Population Health Management Using analytics to evaluate the effectiveness of population health management programs
Module #21 Special Topics in Population Health Analytics Emerging trends and topics in population health analytics, such as AI and machine learning
Module #22 Capstone Project:Applying Healthcare Analytics to a Real-World Problem Students apply course concepts to a real-world problem in population health management
Module #23 _population Health Analytics Tools and Technologies Overview of tools and technologies used in population health analytics, including data visualization and machine learning platforms
Module #24 Healthcare Analytics Workforce Development Building and maintaining a skilled workforce in healthcare analytics
Module #25 Change Management and Organizational Readiness Preparing organizations for the implementation of healthcare analytics and population health management
Module #26 Return on Investment (ROI) Analysis for Population Health Management Evaluating the financial impact of population health management programs using analytics
Module #27 Patient-Centered Analytics and Personalized Medicine Using analytics to support patient-centered care and personalized medicine
Module #28 Mental Health and Substance Abuse Analytics Applying healthcare analytics to mental health and substance abuse treatment and management
Module #29 Health Disparities and Health Equity Analytics Using analytics to identify and address health disparities and promote health equity
Module #30 Course Wrap-Up & Conclusion Planning next steps in Healthcare Analytics for Population Health Management career
