Model-based query language for analyzing clinical processes

Area of Science:

• Health Informatics
• Data Science
• Clinical Process Analysis

Background:

• Hospitals possess large clinical process datasets that are underutilized.
• Current methods for querying hospital data are limited to predefined options or complex software like MS Excel.

Purpose of the Study:

• To propose a new, user-friendly query language for analyzing clinical processes.
• To enable non-IT professionals to effectively query and analyze hospital data.

Main Methods:

• Development of a novel query language based on a process modeling language.
• Verification of prototypes using real-world hospital data examples.

Main Results:

• The proposed query language is easily understandable by non-IT professionals.
• Prototypes have been successfully validated with practical hospital data.

Conclusions:

• The new query language significantly improves the accessibility and usability of clinical process data.
• This facilitates deeper insights and better decision-making from hospital data.