Prioritizing Nursing Interventions Using WASPAS A Data Analytics Approach

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Authors: Ramya Sharma
Cited by: 0
References: 37

Abstract

Delving into the critical role of nursing care plans in Australian aged care, the introduction of electronic systems in these facilities aimed to elevate the standard of documentation. While standardized nursing terminologies, designed to promote communication and professional growth in nursing, aren't obligatory in aged care settings, there's a clear imperative to explore the language employed by nurses in their care plans. Additionally, investigating the influence of electronic systems on documentation quality in residential aged care stands as a significant area of inquiry. This study sought to delineate documentation practices within Australian residential aged care homes, conducting a thorough audit across seven facilities. The review encompassed 111 paper-based and 194 electronically managed nursing care plans, strategically selected for comprehensive assessment. The results underscored the efficacy and practicality of employing decision support mechanisms to capture patient preferences and integrating them into nursing care plans. This integration was found to significantly augment the quality of nursing care and subsequently improve patient outcomes. These encompass the selection processes for cutting fluids, electroplating systems, forging conditions, arc welding procedures, industrial robots, milling conditions, material machinability, and electro-discharge micro-machining parameters. The research emphasizes the WASPAS method's proficiency in precisely ranking alternatives across all these decision-making scenarios. Furthermore, the study delves into examining how the parameter λ (lambda) influences the ranking performance of the WASPAS method

Fields of Study & Subjects

Nursing Diagnosis and Documentation Multi-Criteria Decision Making Decision Support System Applications

Publication details

Journal / source
REST Journal on Data Analytics and Artificial Intelligence
Volume
4
Issue
4
Pages
112–112
Publication date
12 February 2026
Language
EN