International Journal of Clinical Case Reports, 2025, Vol.15, No.2, 90-97 http://medscipublisher.com/index.php/ijccr 95 6.3 Implications for nursing education and practice The integration of advanced assessment tools and AI in nursing care has significant implications for nursing education and practice. There is a need to develop curricula that educate nurses about AI and its applications in healthcare, enabling them to lead and participate in digital initiatives (O’Connor et al., 2022). Training programs should focus on enhancing nurses’ readiness for the future by equipping them with the skills needed to use AI-based technologies effectively. Additionally, interdisciplinary research involving nurses is essential to evaluate the clinical efficacy and ethical implications of AI-based technologies in professional practice. By incorporating these advancements into nursing education and practice, the nursing profession can ensure high-quality, patient-centered care in the evolving healthcare landscape. 7 Concluding Remarks The application of rapid assessment tools in the nursing care of patients with acute cerebrovascular accidents (ACAs) has shown significant promise in improving patient outcomes. Various studies have demonstrated that educational interventions and the use of mobile applications can enhance nurses’ ability to detect and manage clinical deterioration effectively. For instance, a web-based educational program significantly improved nurses' knowledge and performance in recognizing and responding to clinical deterioration. Similarly, the use of the mSmartAVC mobile app led to a substantial increase in knowledge among nurses and nursing students regarding the detection and care of cerebrovascular accidents. Additionally, comprehensive nursing assessment frameworks, although not widely validated for general ward use, have shown potential in improving patient outcomes by enabling early detection of risks. The findings from these studies have several implications for clinical practice. Firstly, integrating rapid assessment tools and educational programs into nursing curricula and ongoing professional development can enhance the early detection and management of clinical deterioration in patients with ACAs. The use of mobile applications like mSmartAVC can support bedside decision-making, thereby improving the quality of care provided to stroke patients. Furthermore, the development and implementation of comprehensive nursing assessment frameworks can standardize patient assessments, ensuring consistency and enabling timely interventions. The use of validated tools such as the Dysphagia Trained Nurse Assessment (DTNAx) tool and the Nursing Delirium Screening Scale (Nu-DESC) can also aid in the accurate assessment of specific conditions like dysphagia and delirium, respectively, thereby improving patient outcomes. Future research should focus on validating comprehensive nursing assessment frameworks for use in general ward settings to ensure their applicability and effectiveness across diverse patient populations. Additionally, there is a need for more studies to evaluate the long-term impact of mobile applications and web-based educational programs on patient outcomes and nursing practice. Research should also explore the integration of these tools into electronic health records to streamline documentation and enhance communication among healthcare providers. Finally, further studies should investigate the role of community neurological nursing care in supporting patients with long-term neurological conditions post-discharge, as this area remains underexplored. Acknowledgments The authors would like to express their gratitude to the anonymous referees and the editor for their constructive comments and valuable suggestions. Conflict of Interest Disclosure The authors affirm that this research was conducted without any commercial or financial relationships that could be construed as a potential conflict of interest. References Alsrouji O., Marin H., Kole M., and Chebl A., 2023, Abstract TP95: utility of automated artificial intelligence software in the analysis of Ct perfusion with acetazolamide challenge for the assessment of cerebrovascular reserve in patients with cervico-cranial arterial stenoses and occlusions, Stroke, 54(suppl_1): ATP95-ATP95. https://doi.org/10.1161/str.54.suppl_1.tp95
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