Spine Surgery Database: Spine Disease Analytical Evaluation Module

Area of Science:

• Spine Surgery
• Medical Informatics
• Health Outcomes Research

Background:

• Traditional paper-based methods for spine disease outcome measurement are time-consuming and prone to human error.
• Efficient analysis of patient data is crucial for effective spine surgery patient management and follow-up.
• Existing systems may lack the customization needed for specific spine disease analytical evaluations.

Purpose of the Study:

• To demonstrate a custom spine disease analytical evaluation module for instant, accurate, and effective analysis of outcome measurements.
• To compare the efficiency of a spine surgery database (SSD) platform with traditional paper-based data entry.
• To quantify improvements in patient status evaluation time using a paperless module.

Main Methods:

• Evaluated data input and analysis processes comparing manual entry with the spine surgery database (SSD) platform.
• Analyzed data from 116 cervical degenerative patients using an upgraded SSD version.
• Assessed patients using the SF-36 Quality of Life Index, Nurick classification, and Japanese Orthopedic Association score.

Main Results:

• The developed module provides instantaneous access and analysis of patient data.
• The paperless evaluation module improved post-surgery patient status evaluation time by 45.64%.
• Physicians saved up to 401 minutes per preoperative and follow-up period for 116 patients, avoiding manual record errors.

Conclusions:

• Customized software solutions are essential for efficient patient registration and follow-up in spine care.
• The proposed module enables fast, effective, and accurate patient follow-up and progress analysis.
• The study highlights the benefits of digital solutions in improving the efficiency and accuracy of spine disease outcome measurement.