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Updated: Jun 26, 2026

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

Published on: November 22, 2019

Start small and build toward business intelligence.

Sean Kirby¹, Brian Robertson

¹MedeFinance, Dallas, USA. skirby@medefinance.com

Healthcare Financial Management : Journal of the Healthcare Financial Management Association

|January 24, 2009

Summary

This summary is machine-generated.

Healthcare organizations can effectively use business intelligence by starting small, aligning efforts, and building on successes. Continuous improvement is key, requiring defined measures and reinvestment of savings.

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Last Updated: Jun 26, 2026

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

Published on: November 22, 2019

Area of Science:

Healthcare Management
Health Informatics
Business Intelligence in Healthcare

Background:

Effective use of business intelligence (BI) is crucial for healthcare organizations to navigate complex data landscapes.
Strategic implementation of BI can lead to improved operational efficiency and patient outcomes.

Purpose of the Study:

To outline a strategic approach for healthcare organizations to effectively implement and leverage business intelligence.
To provide actionable recommendations for maximizing the benefits of BI in a healthcare setting.

Main Methods:

The study emphasizes a phased approach to BI implementation, starting with small, manageable projects.
Key strategies include organizational alignment, defining necessary performance measures, and effective data presentation.
Leveraging initial successes and reinvesting generated savings are highlighted as critical components.

Main Results:

Organizations that start small and align their BI efforts organizationally are more likely to achieve success.
Clearly defining required measures and presentation methods enhances BI utility.
Reinvestment of savings from BI initiatives fuels continuous improvement cycles.

Conclusions:

Successful business intelligence adoption in healthcare requires a strategic, iterative approach.
Organizational alignment and a focus on specific, measurable outcomes are vital for BI effectiveness.
Continuous reinvestment and improvement are essential for sustained BI value in healthcare organizations.