Related Experiment Video
Updated: Sep 20, 2025
09:52
Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide
Published on: January 15, 2017
17.3K
Decision-Making Support in Stroke Diagnosis Process: An Approach Based on the PROMETHEE Method and Decision Model
Pedro Boareto1, Leticia K Mantovani1, Juliana Safanelli2
1Department of Production and Systems Engineering, Pontifical Catholic University of Paraná, Curitiba, Paraná, Brazil.
Studies in Health Technology and Informatics
|June 8, 2022
Summary
This study combines Decision Model and Notation (DMN) with the PROMETHEE II method to enhance healthcare decision-making. The integrated approach improves efficiency and accuracy in time-sensitive processes like stroke diagnosis.
Area of Science:
- Healthcare Management
- Decision Science
- Medical Informatics
Background:
- Healthcare decision-making is complex, requiring robust support tools.
- Existing methods like Decision Model and Notation (DMN) and PROMETHEE II offer valuable analytical capabilities.
- There is a need to integrate these tools for improved clinical process efficiency.
Purpose of the Study:
- To combine Decision Model and Notation (DMN) with the PROMETHEE II multi-criteria decision analysis method.
- To evaluate the synergistic decision support provided by this combined approach.
- To apply the integrated methodology to the critical diagnostic stage of stroke patients.
Main Methods:
- Utilized Decision Model and Notation (DMN) for decision structuring.
- Employed the PROMETHEE II method for multi-criteria analysis.
- Integrated DMN and PROMETHEE II to support stroke patient diagnosis.
Main Results:
- The combined DMN and PROMETHEE II approach demonstrated significant improvements in decision-making.
- Key gains were observed in efficiency and assertiveness within time-sensitive hospital processes.
- The study highlighted the potential for enhanced diagnostic accuracy in stroke cases.
Conclusions:
- Integrating DMN and PROMETHEE II offers substantial decision support in healthcare.
- This combined methodology is particularly effective for time-sensitive medical processes.
- Addressing infrastructure and specialized team shortages is crucial for implementing advanced diagnostic support.
Related Concept Videos
01:09Decision Making: P-value Method
5.8K
The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim is also stated. These statements can act as null and alternative hypotheses: a null hypothesis would be a neutral statement while the alternative hypothesis can...
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim is also stated. These statements can act as null and alternative hypotheses: a null hypothesis would be a neutral statement while the alternative hypothesis can...
5.8K
01:14Decision Making: Traditional Method
4.2K
The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
4.2K
01:20Decision Making
250
Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
Automatic decision-making is fast, intuitive, and relies on gut feelings...
250