Training on Data-Driven Healthcare: Managing and Utilizing Health Information

Module 1: Introduction to Healthcare Data

• Types of healthcare data (clinical, administrative, financial)
• Data sources (electronic health records, claims data, registries)
• Data lifecycle (collection, storage, retrieval, analysis, dissemination)

Module 2: Data Quality and Management

• Data quality principles and standards
• Data cleaning and standardization
• Data integration and interoperability
• Data governance and stewardship

Module 3: Data Security and Privacy

• Healthcare data privacy regulations (HIPAA, GDPR, etc.)
• Data encryption and access controls
• Risk assessment and management
• Incident response and reporting

Module 4: Data Analysis Fundamentals

• Descriptive statistics and data visualization
• Data mining techniques
• Predictive modeling and machine learning basics

Module 5: Healthcare Data Analytics

• Patient population health management
• Quality improvement using data
• Healthcare operations optimization
• Financial analysis and cost-effectiveness

Module 6: Clinical Decision Support Systems

• Introduction to CDSS
• Knowledge representation and reasoning
• CDSS development and implementation
• Evaluation of CDSS effectiveness

Module 7: Health Informatics and Information Systems

• Overview of health information systems
• Electronic health records (EHR)
• Clinical decision support systems (CDSS)
• Population health management systems

Module 8: Big Data and Healthcare

• Introduction to big data concepts
• Big data technologies (Hadoop, Spark)
• Applications of big data in healthcare
• Ethical considerations

Module 9: Data-Driven Research and Innovation

• Research methodologies using healthcare data
• Data-driven healthcare innovation
• Dissemination of research findings

Module 10: Leadership and Communication

• Data-driven leadership and decision-making
• Communicating data insights to stakeholders
• Change management in a data-driven environment