1229. A Multi-Criteria Approach for Patient Stability Assessment in Emergency Care: Integrating PFS and TOPSIS
Invited abstract in session TC-11: Emergency care and services, stream OR in Healthcare (ORAHS).
Tuesday, 12:30-14:00Room: Clarendon SR 1.03
Authors (first author is the speaker)
| 1. | Antonio Sergio da Silva
|
| PPG Engenharia de Produção, Universidade Federal Fluminense | |
| 2. | Marcos dos Santos
|
| Military Engineering Institute (IME) | |
| 3. | Carlos Francisco Simoes Gomes
|
| Production Engineering, Fluminense Federal University |
Abstract
This study introduces a multi-criteria approach for assessing patient stability in emergency care by integrating the PFWA operator with the PFS-TOPSIS framework and the MPSI-MARA technique for weight assignments. By utilizing Picture Fuzzy Sets, this model provides a nuanced classification of patient conditions, overcoming the limitations of traditional triage systems with a more flexible, data-driven assessment. Applied to simulated data, the model effectively prioritizes patients based on critical vital signs, including respiratory rate, oxygen saturation, and heart rate, aligning closely with clinical expectations for risk stratification. The findings indicate that this approach could significantly impact patient outcomes by enhancing the accuracy and consistency of triage decisions in emergency settings. Future research should focus on validating this methodology with real-world data and investigating its applicability across various healthcare contexts, ultimately influencing patient flow, resource allocation, and quality of care in high-demand environments.
Keywords
- Critical Decision Making
- Decision Support Systems
- Medical Applications
Status: accepted
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