头颈部肿瘤患者术后康复智能化管理平台的研发及实用性研究

doi:10.3761/j.issn.0254-1769.2025.01.009

摘要/Abstract

摘要：

目的构建头颈部肿瘤患者术后康复智能化管理平台并进行应用，旨在为提高头颈部肿瘤患者术后康复护理质量提供借鉴。方法头颈部肿瘤患者术后康复智能化管理平台从下到上依次分为底层环境、平台支撑、核心数据库、分析算法以及应用平台5层，通过构建头颈部肿瘤术后并发症知识库和风险预测模型以及可穿戴设备辅助精准化预测风险，实现对头颈部肿瘤患者术后康复智能化管理。采用非同期前后对照法，便利选取杭州市某三级甲等综合医院2023年2月—12月接受手术治疗的90例头颈部肿瘤患者作为研究对象，其中2023年8月—12月收治的45例为试验组，应用康复智能化管理平台实施干预管理；2023年2月—7月收治的45例为对照组，给予常规康复管理。比较两组术后12、24、48、72 h疼痛量表得分，术后并发症发生率、术后住院时间及住院患者满意度。结果所有患者均完成研究，试验组在并发症发生率及术后12、24、48、72 h数字疼痛评分低于对照组，试验组术后住院时间短于对照组，试验组满意度高于对照组，差异具有统计学意义（均P<0.05）。结论应用康复智能化管理平台能够减少头颈部肿瘤患者术后并发症，缓解患者疼痛不适，缩短住院时间，提高患者满意度，改善护理服务质量。

关键词: 头颈部肿瘤, 人工智能, 康复管理平台, 护理

Abstract:

Objective To construct an intelligent postoperative rehabilitation management platform and evaluate its effect in patients with head and neck cancer. Methods The postoperative intelligent rehabilitation management platform of head and neck cancer patients was divided into 5 layers from bottom to top，including the underlying environment, platform support, core database, analysis algorithm and application platform. Through the construction of head and neck tumor postoperative complications knowledge base and risk prediction model and wearable device auxiliary precision prediction risk，the head and neck cancer patients with postoperative intelligent rehabilitation management was realized. A historical controlled study was conducted and 90 participants with head and neck cancer were selected who underwent the surgical treatment in a hospital in Hangzhou，Zhejiang Province. The experimental group（45 participants admitted from February to July） received the intervention by the intelligent rehabilitation management platform，while the control group（45 patients from August to December） received the routine rehabilitation management. The outcome measures including NRS scores at 12 h，24 h，48 h and 72 h after surgery，incidence of postoperative complications，postoperative length of hospital stay，and patient satisfaction were compared between the 2 groups. Results The scores of incidences of complications，postoperative hospital stay，and NRS scores at 12 h，24 h，48 h and 72 h after surgery in the experimental group were lower than those in the control group（P<0.05），while the scores of patient satisfaction in the experimental group were higher than those of the control group（P<0.05）. Conclusion The intelligent postoperative rehabilitation management platform can achieve accurate prediction of postoperative complications，reduce postoperative complications of head and neck tumors，timely intervene to relieve patients’ pain and discomfort，shorten hospital stays，improve nursing work efficiency and improve patient satisfaction.

Key words: Head and Neck Neoplasms, Artificial Intelligence, Rehabilitation Management Platform, Nursing Care

沈利凤, 陈飘飘, 钱雅芬, 徐艳, 郭海巍, 金艾香. 头颈部肿瘤患者术后康复智能化管理平台的研发及实用性研究[J]. 中华护理杂志, 2025, 60(1): 61-68.

SHEN Lifeng, CHEN Piaopiao, QIAN Yafen, XU Yan, GUO Haiwei, JIN Aixiang. Development and practicality of an intelligent management platform for postoperative rehabilitation of patients with head and neck tumors[J]. Chinese Journal of Nursing, 2025, 60(1): 61-68.

图/表 4

图1 头颈部肿瘤患者数据库

Figure 1 Head and neck cancer patient database

表1 两组一般资料比较[例（百分比，%）]

Table 1 Comparison of general data between 2 groups[case（percentage，%）]

表2 Comparison of postoperative pain scores between 2 groups of patients（分，

\bar{x} \pm s

）

Table 2

表2 Comparison of postoperative pain scores between 2 groups of patients（分， $\bar{x} \pm s$ ）

Table 2

表3 两组术后并发症发生率比较[例（百分率，%）]

Table 3 Comparison of postoperative complication rates between 2 groups [case（percentage，%）]

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