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Related Experiment Video

Updated: May 6, 2026

Executing Complexity-Increasing Queries in Relational MySQL and NoSQL MongoDB and EXist Size-Growing ISO/EN 13606 Standardized EHR Databases

Executing Complexity-Increasing Queries in Relational MySQL and NoSQL MongoDB and EXist Size-Growing ISO/EN 13606 Standardized EHR Databases

Published on: March 19, 2018

Requirements engineering for cross-sectional information chain models.

U Hübner¹, E Cruel, M Gök

¹University of Applied Sciences Osnabrück, Germany.

NI 2012 : 11Th International Congress on Nursing Informatics, June 23-27, 2012, Montreal, Canada. International Congress in Nursing Informatics (11Th : 2012 : Montreal, Quebec)

|November 8, 2013

Summary

This study addresses engineering generic health information requirements for cross-sectional information chains. It details methods for capturing applicable requirements for reference models, using clinical guidelines, Delphi surveys, and expert interviews.

Related Experiment Videos

Last Updated: May 6, 2026

Executing Complexity-Increasing Queries in Relational MySQL and NoSQL MongoDB and EXist Size-Growing ISO/EN 13606 Standardized EHR Databases

Executing Complexity-Increasing Queries in Relational MySQL and NoSQL MongoDB and EXist Size-Growing ISO/EN 13606 Standardized EHR Databases

Published on: March 19, 2018

Area of Science:

Health Informatics
Requirements Engineering
Information Systems

Background:

Limited research exists on engineering generic, innovative, and emerging requirements, particularly for cross-sectional information chains.
The IKM health project focuses on developing information chain reference models for chronic wound, cancer pain, and back pain patient care.

Purpose of the Study:

To determine how to appropriately capture information and process requirements that are both generally applicable and practically useful for health information chain reference models.

Main Methods:

Utilized clinical guideline recommendations as a starting point.
Conducted Delphi surveys and expert interviews to discuss and refine requirements.
Evaluated three modeling languages, ultimately selecting UML (class and activity diagrams) for model development.

Main Results:

Despite encountered heterogeneity across methods, requirements suitable for building reference models were successfully obtained.
UML (class and activity diagrams) was chosen for modeling the information chain reference models.

Conclusions:

The study discusses the pros and cons of the chosen approach for engineering generic health information requirements.
The findings contribute to the development of practical and generally applicable reference models for patient care information chains.