Core Concepts
Privacy and security are crucial in healthcare data governance to protect patient information and comply with regulations.
Abstract
The abundance of data has transformed decision-making in various sectors.
Privacy and security are critical concerns in the healthcare industry.
Healthcare data mismanagement can lead to severe consequences.
Compliance with regulations is essential to protect patient data.
A conceptual framework for healthcare data governance is proposed.
Existing healthcare data governance models are analyzed.
Data governance elements are categorized for privacy and security.
Data communication and security by design are crucial pillars.
Policies, standards, regulations, roles, responsibilities, and training are key in data governance.
Data quality, access, and privacy-enhancing technologies are essential for security.
Automated compliance checking and data warehouse governance play vital roles.
The framework focuses on privacy and security throughout the data lifecycle.
Stats
In 2020, there were 616 reported data breaches affecting healthcare organizations in the United States.
LifeBridge Health in Maryland exposed personal and medical information of approximately 1.4 million patients in January 2023.
Quotes
"Data governance encompasses the comprehensive administration of data within an organization."
"Healthcare data quality is critical for delivering safe, efficient, and effective patient care."