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

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Relational Algebra in Spatial Decision Support Systems Ontologies.

Marianna Diomidous¹, Kostis Chardalias¹, Panagiotis Koutonias¹

¹Department of Nursing, University of Athens, Goudi, Athens.

Studies in Health Technology and Informatics

|July 7, 2017

Summary

Decision Support Systems (DSS) aid researchers and clinicians in making informed decisions, particularly in medicine to prevent clinical misunderstandings. This study presents a method combining doctor

Keywords:

decision support systems ontologies relational algebra spatial chartography

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Area of Science:

Medical Informatics
Computer Science

Background:

Decision Support Systems (DSS) are valuable tools for researchers and clinicians.
Effective use of DSS in medicine requires precise query construction to address clinical questions.

Purpose of the Study:

To present a novel approach for combining medical questions with data queries.
To enhance the utility of Decision Support Systems in clinical settings.

Main Methods:

Utilizing relational algebra to formulate queries based on specific clinical questions.
Developing a framework for integrating question-driven queries within DSS.

Main Results:

Demonstrated a method for translating clinical inquiries into structured queries.
Showcased the potential of relational algebra in optimizing DSS for medical decision-making.

Conclusions:

The proposed question-query combination enhances DSS functionality for medical applications.
This approach can help mitigate clinical misunderstandings by providing data-driven answers to specific questions.