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Spine surgery database: a Turkish registry for spinal disorders
Semih Utku1, Hulusi Baysal, Mehmet Zileli
1Dokuz Eylul University, Computer Engineering, Buca, Izmir, Turkey. semih@cs.deu.edu.tr
Turkish Neurosurgery
|April 20, 2010
Summary
A new Turkish academic database application for spinal surgery clinics streamlines patient data management. This platform facilitates systematic recording of diagnosis, treatment, and follow-up, resolving patient registration issues and enabling outcome analysis.
Area of Science:
- Spinal Surgery
- Medical Informatics
- Health Data Management
Background:
- Effective management of patient data is crucial in specialized medical fields like spinal surgery.
- Existing systems may lack user-friendliness or comprehensive data analysis capabilities.
- A dedicated platform can improve data organization, accessibility, and research potential.
Purpose of the Study:
- To develop and present a specialized Turkish academic database application for spinal surgery clinics.
- To provide a user-friendly interface for systematic recording of patient diagnosis, treatment, and follow-up data.
- To enable the analysis of patient data and treatment outcomes.
Main Methods:
- The Spine Surgery Database (SSD) application was designed with a hierarchical structure for user-friendly data access.
- The system includes tools for database creation, analysis, and data merging.
- Standardized outcome assessment tools such as Oswestry Disability Index, Prolo Scale, and SF-36 were incorporated.
Main Results:
- The SSD application successfully recorded medical data for over 22,000 patients, resolving registration challenges.
- Diagnosis, treatment, and follow-up processes were monitored within a standardized structure.
- The analysis tool facilitated the representation of patient profiles based on pathological and anatomical information.
Conclusions:
- The specialized SSD application offers a comprehensive and user-friendly solution for spinal surgery needs.
- The platform supports the generation of questionnaires and scales essential for clinicians and researchers.
- This database enhances systematic data recording and analysis in spinal surgery practices.
