MedIDok--an Intranet tool for XML-based data modelling in medicine

Area of Science:

• Medical Informatics
• Health Information Systems

Background:

• Integrating administrative, clinical, and scientific medical data is challenging due to complex and dynamic data models.
• Clinically adequate medical documents require at least 50 items per procedure.
• Physician acceptance necessitates extensive fine-tuning, highlighting the importance of rapid prototyping.

Purpose of the Study:

• To develop a system for generating and maintaining medical documentation systems and associated data models.
• To address the need for portable documentation results independent of specific implementations.
• To assess the feasibility of non-redundant intranet systems for clinical and scientific information management.

Main Methods:

• Development of MedIDok (Medical Intranet-based Documentation), a set of intranet tools.
• Generation of specific documentation systems and data models without manual coding.
• Utilizing XML format for data structures to ensure reusability across software architectures.

Main Results:

• MedIDok successfully generated programs for documentation systems.
• Data structures in XML format demonstrated portability and reusability.
• Feasibility of non-redundant intranet systems was assessed across multiple medical domains.
• Over 10,000 patient contacts documented using MedIDok-generated programs.

Conclusions:

• MedIDok provides a viable solution for integrating diverse medical documentation needs.
• The system supports efficient clinical and scientific information management through automated program and data model generation.
• XML-based data structures enhance data portability and interoperability in healthcare settings.