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Exploring the Effects of Data-Driven Hospital Resources on Operational Performance: A Systematic Literature Review.

Jia-Wen Tan¹, Mu-Hsing Kuo¹

¹School of Health Information Science, University of Victoria.

Studies in Health Technology and Informatics

|August 8, 2025

Summary

This systematic literature review reveals how healthcare data resources and advanced analytics drive organizational performance. Key themes include data culture, data warehousing, and human capital management for improved outcomes.

Keywords:

Advanced analytics big data data management data quality data warehouses data-driven culture human capital organizational performance

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Area of Science:

Health Informatics
Data Science
Organizational Management

Background:

Healthcare organizations increasingly rely on data for performance improvement.
Advanced analytics offer potential for optimizing healthcare operations.
Understanding the influence of data resources is crucial for strategic development.

Purpose of the Study:

To systematically review literature on data-driven resources in healthcare.
To explore the impact of these resources on advanced analytics development.
To identify factors enhancing organizational performance through data analytics.

Main Methods:

Conducted a systematic literature review (SLR).
Analyzed 26 studies focusing on data resources and healthcare analytics.
Thematically synthesized findings into key areas.

Main Results:

Identified three primary themes influencing advanced analytics and performance: data-driven culture, data warehouse technologies, and human capital management.
Highlighted the interconnectedness of these themes in leveraging data effectively.
Demonstrated the role of data-driven resources in advancing analytical capabilities.

Conclusions:

Data-driven culture, robust data warehousing, and skilled human capital are essential for maximizing organizational performance in healthcare.
Findings provide a foundation for future research in health data analytics.
Contributes to theoretical and empirical development in health informatics and management.