Abstract:

Objective To construct an artificial intelligence follow-up system for multiple myeloma patients based on patient needs，and to evaluate its application effect. Methods From March to May 2022，308 patients with multiple myeloma were selected from 3 tertiary hospitals in Shandong via convenience sampling method，and they were investigated by the cognition and demand content questionnaire of the artificial intelligence follow-up system，and the module of the follow-up system was developed，and its functions were combined with the initial application of the follow-up system for patients with hematologic diseases. From July to December 2022，patients’ symptom management level and satisfaction before and after application of the system were evaluated by the cancer patient self-management assessment scale and the continuous Care Smart platform using the questionnaire. The continuous Care Smart platform was used to evaluate the application satisfaction of medical staff with the questionnaire. Results The artificial intelligence follow-up system for multiple myeloma patients consisted of 2 modules and 9 functions. After the system was applied，the self-management level of 83 patients with multiple myeloma was higher than that before application（P<0.05）；the satisfaction score of patients was （67.36±8.27） points；the timely completion rate of follow-up was higher than that before the application （P<0.01）. The satisfaction of medical staff on the practicability，convenience，reliability and accuracy of the system was more than 95%，and the satisfaction of intelligence was 84.6%. Conclusion The artificial intelligence follow-up system for multiple myeloma patients has a scientific construction process，good practicability and convenience，and patients have high satisfaction with it.

Key words: Multiple Myeloma, Artificial Intelligence, Continuing Care, Follow-Up System

摘要：

目的 构建多发性骨髓瘤患者人工智能随访系统，并评价其应用效果。 方法 2022年3月—5月，采用便利抽样法，选取山东省3所三级医院的308例多发性骨髓瘤患者，使用多发性骨髓瘤患者人工智能随访需求量表进行调查，并根据患者需求，构建多发性骨髓瘤患者人工智能随访系统。2022年7月—12月，初步应用多发性骨髓瘤患者人工智能随访系统，采用癌症患者自我管理测评量表评价患者的症状自我管理水平；采用延续性护理智慧平台使用调查表和人工智能随访系统应用满意度调查表评价患者及医护人员的应用满意度。 结果 多发性骨髓瘤患者人工智能随访系统包含2个模块，9个功能；该系统应用后，83例患者随访按时完成率为96.39%，83例多发性骨髓瘤患者自我管理水平高于应用前（P<0.05），患者满意度得分为（67.36±8.27）分，医护人员对系统的实用性、便捷性、可靠性和精准性满意度均超过95.0%，对智能性的满意度为84.6%。 结论 多发性骨髓瘤患者人工智能随访系统具有较好的实用性和便捷性，能提高患者的症状自我管理水平，患者及医护人员对其应用的满意度较高。

关键词: 多发性骨髓瘤, 人工智能, 延续护理, 随访系统