[Database application for information on post-surgical evolution after functional neurosurgery]

Area of Science:

• Neurosurgery
• Medical Informatics
• Movement Disorders

Background:

• Quantitative scales are used internationally to assess functional status in movement disorders.
• Patient data over time is crucial for studying disease evolution and performing statistical analyses.
• Current methods for managing this data can be time-consuming and prone to error.

Purpose of the Study:

• To develop an efficient, reliable, and automated tool for managing clinical data of patients with movement disorders.
• To facilitate the study of disease progression and statistical analysis of patient outcomes.
• To improve the handling of pre- and post-surgical information for neurosurgery patients.

Main Methods:

• Selection of key variables from international protocols for movement disorders.
• Development of a Windows-based database application using Delphi 3.0 and SQL.
• Implementation of features for data collection, automated processing, and export.

Main Results:

• A validated database system for automatic handling of clinical evolution data in functional neurosurgery patients was created.
• The system enables efficient collection, fast searching, data processing, and standardized data export.
• The database system has been successfully utilized for over three years in a clinical setting.

Conclusions:

• The developed system significantly reduces the time and effort required for monitoring post-surgical patient evolution.
• The automation and structured data handling increase the reliability of research findings.
• This tool enhances the efficiency and accuracy of clinical research in movement disorders.