Chinese Journal of Nursing Education >
Construction of a speech follow-up system and its application in patients with hypertension and diabetes
Objective To construct and explore the implementation effect of a voice follow-up system among patients with hypertension and diabetes. Methods A medical knowledge base was established based on the manual telephone follow-up data of 4 087 patients with hypertension and diabetes in the hospital in the past 5 years. A speech template was formed and a voice follow-up system based on intelligent speech technology was constructed. Patients discharged from the Department of Internal Medicine with diagnosis of hypertension and diabetes mellitus from April 2022 to March 2023 were recruited as the study participants. The voice follow-up system was applied to replace the traditional manual follow-up method among these patients. Effect of patient follow-up,the accuracy of data collection,the accuracy of man-machine answering,and the satisfaction of follow-up was collected. Results The total number of follow-up visits was 1 489,and the follow-up success rate was 73.7%. Five hundred patients were randomly selected from the group of follow-up successful patients for the analysis of follow-up recording data. The difference in the follow-up success rate of patients with different age was statistically significant(χ2=38.861,P<0.001). Besides,the accuracy rate of data collection for patients with or without previous follow-up experience(χ2=4.970,P=0.026) and the accuracy rate of man-machine answering(χ2=7.010,P=0.008) differences were both statistically significant. In addition,different literacy levels(χ2=13.467,P=0.001),and age groups(χ2=15.062,P=0.002),accuracy of patients’ human-computer responses were statistically significant and the satisfaction rate of the follow-up visit was 91.2%. Conclusion The voice follow-up system has good acceptance and practicability among hypertensive and diabetic patients,can save manpower,improve the efficiency of follow-up,and is more suitable for people with younger age,higher education level,and familiar with the hospital follow-up process. The voice follow-up system is worthy of popularization and application in the future.
Key words: Health education; Hypertension; Diabetes; Voice follow-up system
Xiaoying WU , Liqing JIN , Chenglong XUE , Xiaoyang ZHANG , Chuanxing LI . Construction of a speech follow-up system and its application in patients with hypertension and diabetes[J]. Chinese Journal of Nursing Education, 2025 , 22(1) : 104 -108 . DOI: 10.3761/j.issn.1672-9234.2025.01.017
| [1] | 新华社. 我国发布四类慢性病营养和运动指导原则某地区60岁以上老年人慢性病发病率及达标率对比分析研究[EB/OL].(2024-07-01)[2024-10-08]. https://www.gov.cn/lianbo/bumen/2024-07/content_6960468.htm. |
| [2] | 尹毅丹, 杨建萍, 孙宁, 等. 智能语音随访系统在缺血性卒中二级预防中的应用分析[J]. 实用临床医药杂志, 2023, 27(22):1-5. |
| [2] | Yin YD, Yang JP, Sun N, et al. Application analysis of inte-lligent speech follow-up system in secondary prevention of ischemic stroke[J]. J Clin Med Pract, 2023, 27(22):1-5. |
| [3] | 师庆科, 郑涛. 大型三甲医院患者智能随访语音平台设计与应用[J]. 中国数字医学, 2021, 16(8):22-27. |
| [4] | 吴玲娣, 王伟. 人工智能机器人在胆胰外科日间手术患者出院随访中的应用价值[J]. 外科研究与新技术, 2019, 8(2):138-140. |
| [4] | Wu LD, Wang W. Application value of artificial intelligence robot in the follow-up of patients after biliary and pancreatic day surgery[J]. Surg Res N Tech, 2019, 8(2):138-140. |
| [5] | 韩生伟, 韩伟. 人工智能技术在口腔医学领域的应用进展[J]. 口腔医学研究, 2020, 36(6):519-522. |
| [5] | Han SW, Han W. Application of artificial intelligence in oral medicine[J]. J Oral Sci Res, 2020, 36(6):519-522. |
| [6] | 党娜, 刘智红. 2010年—2013年电话随访出院患者的结果分析[J]. 中国病案, 2015, 16(6):30-31. |
| [6] | Dang N, Liu ZH. Result analysis on telephone follow-up dis-charged patients from 2010 to 2013[J]. Chin Med Rec, 2015, 16(6):30-31. |
| [7] | 张悦, 田敏, 刘杰. 智能语音服务系统在肝胆外科术后随访的应用[J]. 护理学杂志, 2019, 34(20):55-57. |
| [7] | Zhang Y, Tian M, Liu J. Application of interactive voice service system in follow-up for patients after hepatobiliary surgery[J]. J Nurs Sci, 2019, 34(20):55-57. |
/
| 〈 |
|
〉 |