Data-Oriented Practices for Sustainable Healthcare Organizations.
Abdullateef Almuhrij1,2, Abdullah Alanazi1,2, Mohammed Alanazi1,2
1King Saud Ibn Abdulaziz University for Health Sciences, Saudi Arabia.
Studies in Health Technology and Informatics
|July 3, 2026
Summary
Data governance is crucial for sustainable healthcare organizations, improving decision-making, competitive advantage, and operational effectiveness. Standardized guidelines are needed due to healthcare
Area of Science:
- Healthcare Management
- Information Governance
- Organizational Sustainability
Background:
- Data-driven decision-making is critical in healthcare, impacting patient lives and organizational viability.
- Effective data governance extends beyond mere compliance, underpinning organizational sustainability.
- The healthcare industry faces unique challenges in data standardization due to process complexity and data heterogeneity.
Purpose of the Study:
- To review the literature of the past decade on the roles of data governance in achieving sustainable healthcare organizations.
- To identify key contributions of data governance to organizational transformation and competitive advantage.
- To highlight the need for standardized best practices in healthcare data governance.
Main Methods:
- Systematic literature review of studies published in the last decade.
- Analysis of fifteen selected studies focusing on data governance in healthcare.
- Synthesis of findings regarding the impact and roles of data governance.
Main Results:
- Data governance transforms organizations, enhances competitive advantage, and boosts performance and effectiveness.
- It harmonizes processes and data through flexible, scalable, and structured management practices.
- Key outcomes include improved data flow, data reuse, and organizational interoperability.
Conclusions:
- Data governance is essential for sustainable healthcare organizations, enabling transformation and improving operations.
- Standardization of data governance practices in healthcare is underdeveloped and necessary.
- Further empirical research is required to understand context-dependent outcomes of data governance.
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