IJCCR_2025v15n2

International Journal of Clinical Case Reports, 2025, Vol.15, No.2, 59-67 http://medscipublisher.com/index.php/ijccr 59 Research Insight Open Access A Study on the Application Effect of a Smart Platform-Based Remote Rehabilitation Nursing Model in Postoperative Patients XiuliMa 1, Lingling Qin 1, Chunyue He 1, Yeli Huang2 1 Heart Center, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100020, Beijing, China 2 Nursing Department, The Sixth Medical Center, General Hospital of People’s Liberation Army, Beijing 100048, Beijing, China Corresponding author: huangyeli88@163.com International Journal of Clinical Case Reports 2025, Vol.15, No.2 doi: 10.5376/ijccr.2025.15.0007 Received: 17 Jan., 2025 Accepted: 23 Feb., 2025 Published: 20 Mar., 2025 Copyright © 2025 Ma et al., This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Preferred citation for this article: Ma X.L., Qin L.L., He C.Y., and Huang Y.L., 2025, A study on the application effect of a smart platform-based remote rehabilitation nursing model in postoperative patients, International Journal of Clinical Case Reports, 15(2): 59-67 (doi: 10.5376/ijccr.2025.15.0007) Abstract With advancements in medical technology, the importance of postoperative rehabilitation nursing has become increasingly evident. Traditional nursing models face limitations, including spatial restrictions, lack of personalization, and low patient adherence, which constrain improvements in rehabilitation outcomes. The remote rehabilitation nursing model based on an intelligent platform offers an innovative solution for postoperative patients, enabling real-time monitoring of health data, personalized nursing guidance, and dynamic adjustments to rehabilitation plans. This study provides a detailed analysis of the current applications of intelligent platforms in rehabilitation nursing, exploring their key functional modules and practical applications in postoperative care. It systematically evaluates the value of intelligent platforms in enhancing patient engagement, improving adherence, and optimizing rehabilitation outcomes. The manuscript further highlights the role shift of healthcare professionals in utilizing intelligent platforms and their training needs to ensure effective implementation of remote rehabilitation nursing. Through case analysis, the study verifies the significant advantages of intelligent platforms in improving postoperative patient outcomes and addresses the challenges faced in promoting this model by proposing targeted solutions. This research provides comprehensive theoretical support and practical guidance for the application of intelligent platforms in postoperative rehabilitation nursing, which is significant for driving innovation and optimization in modern rehabilitation nursing models and contributes to improving the quality of rehabilitation and life for postoperative patients. Keywords Postoperative rehabilitation; Intelligent platform; Remote nursing; Personalized care; Patient adherence 1 Introduction Postoperative rehabilitation nursing is crucial for enhancing patient recovery, reducing complications, and improving overall quality of life after surgery. Traditional nursing models, however, often fall short in addressing the comprehensive needs of postoperative patients. These models typically involve in-person visits and manual monitoring, which can lead to inefficiencies and errors. For instance, traditional methods may result in incorrect patient connections, disorganized patient data, and medication errors, ultimately reducing nursing efficiency and patient outcomes (Duan and Lin, 2022). Additionally, traditional models may not provide the continuous support and personalized care necessary for optimal recovery, leading to prolonged hospital stays and higher rates of postoperative complications (Wang et al., 2023). The integration of intelligent platform technology in healthcare has shown promising results in enhancing the quality and efficiency of medical services. Technologies such as artificial intelligence (AI), big data, and the Internet of Things (IoT) are being increasingly utilized to support remote monitoring and smart assistance in various medical fields. For example, AI-based applications have been used for activity recognition, movement classification, and clinical status prediction, which are essential for remote rehabilitation services (Lv and Yang, 2021). Intelligent medical data analysis technology has also been employed to improve postoperative nursing care by streamlining data management and enhancing nursing efficiency (Zhou et al., 2020). Moreover, mobile phone-based programs and social media platforms like WeChat have been used to deliver multimodal nursing programs, demonstrating significant improvements in patient outcomes and satisfaction (Fan et al., 2023). Remote rehabilitation nursing offers several potential advantages over traditional models, particularly in the context of postoperative recovery. By leveraging intelligent platforms, remote rehabilitation can provide continuous,

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