Data Governance for the Healthcare Industry

Course details

In this course, healthcare data analyst Thais Cooke teaches you how to develop, implement, and manage effective data governance programs within healthcare organizations. Explore regulatory requirements, data quality management, security protocols, and implementation strategies. Discover how to address the unique challenges of healthcare data. Develop practical frameworks that balance compliance demands with organizational needs for data accessibility and utilization. Whether you're a healthcare professional expanding your data expertise or a data specialist transitioning into healthcare, this course provides the essential tools to navigate the complex intersection of healthcare operations and data governance.

Learning objectives
Develop data governance frameworks tailored to healthcare organizations that address regulatory requirements, security concerns, and ethical considerations.
Analyze healthcare data quality challenges and formulate effective quality management strategies and data management approaches.
Apply healthcare-specific security and privacy protocols to protect sensitive patient information while enabling appropriate data access and use cases.
Design data governance implementation plans that establish sustainable governance structures within healthcare organizations.

Concepts

0. Introduction

01 - Your first step toward smarter healthcare data

1. Foundations of Data Governance in Healthcare

02 - Healthcare data governance - Challenges and context
03 - Core frameworks and organizational structure
04 - Data governance strategy and value

2. Healthcare Regulatory Compliance

05 - HIPAA and HITECH requirements
06 - Beyond HIPAA - State, international, and FDA regulations
07 - Information blocking and interoperability requirements

3. Data Quality Management in Healthcare

08 - Dimensions of healthcare data quality
09 - Measuring and evaluating data quality in healthcare
10 - Preventive and detective data quality controls
11 - Master data management as a quality foundation

4. Healthcare Data Security and Privacy

12 - Healthcare risk assessment frameworks and access controls
13 - De-identification techniques and breach management
14 - Vendor and third-party risk governance

5. Data Interoperability and Exchange

15 - Healthcare data integration fundamentals
16 - API management and FHIR standards
17 - Cloud governance for healthcare data

6. Data Ethics and Responsible AI in Healthcare

18 - Ethical frameworks and bias mitigation in AI
19 - Transparency and explainability in healthcare AI
20 - Balancing innovation with patient protection
21 - Ethical review processes

7. Data Governance Implementation and Future Directions

22 - Building and maturing a governance program
23 - Change management and implementation challenges
24 - Impact of emerging technologies (IoT, wearables, genomics)
25 - The evolution of patient-centered governance and regulations

Conclusion

26 - Data governance recap and next steps