Module #1 Introduction to Healthcare Data Management Overview of the importance of data management in healthcare, types of healthcare data, and the role of data analytics in healthcare decision-making.
Module #2 Healthcare Data Types and Sources Exploration of different types of healthcare data, including EHRs, claims data, and social determinants of health data, as well as their sources and characteristics.
Module #3 Data Quality and Integrity in Healthcare Discussion of the importance of data quality and integrity in healthcare, common data quality issues, and strategies for data quality improvement.
Module #4 Data Governance in Healthcare Introduction to data governance in healthcare, including data ownership, data sharing, and data security.
Module #5 Healthcare Data Standards and Interoperability Overview of healthcare data standards, including HL7, FHIR, and IHE, and the importance of interoperability in healthcare.
Module #6 Data Warehousing and Business Intelligence in Healthcare Introduction to data warehousing and business intelligence in healthcare, including data modeling, ETL, and reporting.
Module #7 Healthcare Analytics Frameworks and Tools Survey of popular healthcare analytics frameworks and tools, including Tableau, Power BI, and R.
Module #8 Descriptive Analytics in Healthcare Introduction to descriptive analytics in healthcare, including data visualization, summarization, and reporting.
Module #9 Predictive Analytics in Healthcare Exploration of predictive analytics in healthcare, including regression, decision trees, and clustering.
Module #10 Machine Learning in Healthcare Introduction to machine learning in healthcare, including supervised and unsupervised learning, neural networks, and deep learning.
Module #11 Prescriptive Analytics in Healthcare Overview of prescriptive analytics in healthcare, including optimization and simulation techniques.
Module #12 Healthcare Data Visualization Best practices for healthcare data visualization, including effective use of charts, graphs, and dashboards.
Module #13 Population Health Analytics Introduction to population health analytics, including risk stratification, patient segmentation, and healthcare quality measurement.
Module #14 Clinical Decision Support Systems Overview of clinical decision support systems, including rule-based systems, machine learning-based systems, and clinical decision support software.
Module #15 Electronic Health Records (EHRs) and Data Analytics Discussion of the role of EHRs in healthcare data analytics, including EHR data extraction, transformation, and loading.
Module #16 Health Information Exchange (HIE) and Data Analytics Introduction to HIEs and their role in healthcare data analytics, including HIE architecture and data sharing.
Module #17 Accountable Care Organizations (ACOs) and Data Analytics Overview of ACOs and their use of data analytics to improve healthcare quality and reduce costs.
Module #18 Healthcare Quality Measurement and Reporting Introduction to healthcare quality measurement and reporting, including HEDIS, Meaningful Use, and MACRA.
Module #19 Patient-Centered Analytics Discussion of patient-centered analytics, including patient engagement, personalized medicine, and precision health.
Module #20 Healthcare Operational Efficiency and Analytics Exploration of the role of analytics in improving healthcare operational efficiency, including supply chain optimization and workforce analytics.
Module #21 Healthcare Financial Analytics Introduction to healthcare financial analytics, including revenue cycle management, cost accounting, and financial modeling.
Module #22 Regulatory Compliance and Healthcare Data Analytics Overview of regulatory compliance in healthcare data analytics, including HIPAA, GDPR, and FDA regulations.
Module #23 Ethical Considerations in Healthcare Data Analytics Discussion of ethical considerations in healthcare data analytics, including data privacy, bias, and transparency.
Module #24 Healthcare Data Analytics Case Studies Real-world case studies of healthcare data analytics in action, including successes, challenges, and lessons learned.
Module #25 Course Wrap-Up & Conclusion Planning next steps in Data Management and Analytics in Healthcare career
