Data Governance and Data Quality Audit Report

Ensuring Robust Data Management for Healthcare Excellence
Our Data Governance and Data Quality Audit Report examines the current state of data governance and quality practices within a healthcare company. This report highlights the importance of effective data governance in handling sensitive information received from various sources, including the Ministry of Health and patient surveys. It outlines the scope of the internal audit, which evaluates roles and responsibilities, documentation, data flow, monitoring and reporting mechanisms. The audit report assesses the adequacy of tools and controls implemented to ensure compliance with privacy regulations and data quality standards. The findings indicate that while the data governance framework is satisfactory, there are several areas for improvement, including the need for better process optimization, technology upgrades and enhanced team collaboration.
This document details specific observations and recommendations across different stages of the data lifecycle, such as data acquisition, analysis, report production and publication. It identifies key challenges, such as manual processes, resource constraints and the lack of advanced technology solutions, which hinder efficiency and data quality. Strategic and operational recommendations are provided to address these challenges, including the establishment of a data analytics working group, automation of business processes, and enhancement of IT skills. It emphasizes the significance of continuous training and knowledge sharing to build a robust data culture. Overall, this audit report underscores the need for a more integrated and proactive approach to data governance to support the company’s strategic goals and improve healthcare outcomes.
Key observations outlined in this report include:
- Position descriptions, roles and responsibilities, skills and capabilities, and staffing needs should be revisited in advance of fulfill ongoing implementation needs around data governance, data quality and data governance committee implementation needs.
- A senior management team is used as a forum to monitor policy reviews.
- A data-governance-related policies and procedure register is continuously maintained to track and monitor policies and procedures.
- Policies should be revisited and updated in a timely manner as data governance matures at the company.