An Algorithm for Building an Electronic Database

Area of Science:

• Health Informatics
• Clinical Research Methodology

Background:

• Effective clinical outcome analysis requires robust data collection.
• Existing methods may lack prospective maintenance or adaptability.

Purpose of the Study:

• To propose a reproducible algorithm for establishing and maintaining electronic databases.
• To enable retrospective analysis of prospective data for improved evidence-based care.

Main Methods:

• Utilized Microsoft Access for database creation with standardized input fields.
• Employed a hybrid approach: surgeon-completed forms and dedicated data entry personnel.
• Ensured HIPAA compliance for secure data handling.

Main Results:

• Facilitated easy and efficient data collection and transcription.
• Allowed for flexible evolution of clinical interests and addition of new data categories.
• Demonstrated a cost-efficient database solution without requiring additional software.

Conclusions:

• The proposed method provides a roadmap for creating reproducible, prospectively maintained databases.
• Enables surgeons to analyze and compare outcomes, fostering improvements in patient care.
• Offers a sustainable and adaptable platform for ongoing clinical research.