A comparative study on iMed(©) and European database for multiple sclerosis to propose a common language of multiple...

Area of Science:

• Health Informatics
• Medical Data Management
• Neurology

Background:

• Establishing standardized Minimum Data Sets (MDS) is crucial for effective health information systems.
• Controlled vocabularies, taxonomies, and classification systems are essential components of health data infrastructure.

Purpose of the Study:

• To propose an integrated multiple sclerosis (MS) data set by comparing existing software: European database for multiple sclerosis (EDMUS) and iMed(©).
• To identify and categorize key data elements for MS patient information.

Main Methods:

• A comparative-exploratory study analyzing data elements within EDMUS and iMed(©) software.
• Data retrieval from scholarly sources and clinics, using raw data forms for collection.
• Descriptive-comparative analysis of retrieved MS data elements.

Main Results:

• The proposed MS data set encompasses administrative, clinical, and socio-economic data elements.
• This comprehensive data set captures patient information throughout the treatment course.
• Both iMed(©) and EDMUS serve as valuable models for identifying essential MS data elements.

Conclusions:

• The development of a standardized MS data set is achievable through comparative analysis of existing systems.
• Establishing an international MS Minimum Data Set (MDS) will facilitate global data sharing and research.
• A standardized MS MDS forms the foundation for robust MS information systems at all levels.