About corse

This course emphasizes the critical role of data governance in healthcare, where managing data responsibly and ethically is essential for compliance and quality care. As healthcare data becomes more complex and regulations stricter, skilled professionals are needed to navigate these challenges. The program equips participants with knowledge of data governance frameworks, principles, and practices tailored to healthcare settings. It covers methodologies, tools, and strategies to ensure data integrity, security, and accessibility. Attendees will learn about the regulatory landscape and how data influences decision-making, enabling them to implement best practices within their organizations. The course combines theoretical knowledge with practical applications, encouraging collaborative learning and discussion. Overall, it prepares healthcare professionals to establish effective data governance practices that support compliance, improve data quality, and enhance patient care outcomes.

 The Objectives

• Understand the principles of data governance in healthcare.
• Explore regulatory requirements and compliance frameworks.
• Develop skills to assess data quality and integrity.
• Design effective data governance frameworks for healthcare settings.
• Identify key stakeholders and their roles in data governance.
• Analyze case studies to apply learned concepts in real-world scenarios.

Training Methodology

• Interactive lectures and presentations.
• Group discussions and collaborative activities.
• Hands-on workshops and case studies.
• Expert guest speakers from the healthcare industry.
• Individual and group assignments.
• Continuous feedback and assessments.

WHO SHOULD ATTEND

• Healthcare administrators and managers.
• Compliance officers and risk managers.
• Data analysts and data scientists.
• IT professionals specializing in healthcare systems.
• Quality assurance and improvement professionals.
• Policy makers and healthcare strategists.

Course Outlines

Day 1: Introduction to Data Governance in Healthcare

• Overview of data governance concepts.
• Importance of data governance in healthcare settings.
• Key components of an effective data governance framework.
• Regulatory landscape affecting healthcare data management.
• Roles and responsibilities of data governance stakeholders.
• Case study: Successful data governance implementation.

Day 2: Regulatory Requirements and Compliance

• Overview of key healthcare regulations (HIPAA, HITECH, etc.).
• Understanding compliance challenges in data governance.
• Frameworks for achieving compliance in healthcare organizations.
• Assessing organizational readiness for compliance.
• Best practices for maintaining compliance.
• Workshop: Creating a compliance checklist.

Day 3: Data Quality Management

• Defining data quality and its significance in healthcare.
• Common data quality issues in healthcare organizations.
• Techniques for assessing and improving data quality.
• Data stewardship and accountability.
• Tools and technologies for data quality management.
• Group activity: Identifying data quality challenges.

Day 4: Building a Data Governance Framework

• Steps to develop a data governance framework.
• Key elements of a successful governance model.
• Engaging stakeholders in the governance process.
• Establishing policies and procedures for data management.
• Techniques for monitoring and evaluating governance effectiveness.
• Workshop: Drafting a data governance framework.

Day 5: Data Management and Security

• Understanding data management principles.
• Importance of data security in healthcare.
• Risk management strategies for data protection.
• Implementing access controls and data sharing policies.
• Responding to data breaches and incidents.
• Case study: Data security best practices.

Training Method?

• Pre-assessment
• Live group instruction
• Use of real-world examples, case studies and exercises
• Interactive participation and discussion
• Power point presentation, LCD and flip chart
• Group activities and tests
• Each participant receives a copy of the presentation
• Slides and handouts

Training Method?

The course agenda will be as follows:

• Technical Session 30-10.00 am
• Coffee Break 00-10.15 am
• Technical Session 15-12.15 noon
• Coffee Break 15-12.45 pm
• Technical Session 45-02.30 pm
• Course Ends 30 pm