Abstract:

Objective To construct a combined Chinese and Western medicine continuity of care platform based on artificial intelligence（AI） technology and to explore the effect of the platform in diabetic patients. Methods A convenience sampling method was used to select patients with type 2 diabetes mellitus admitted to the Department of Endocrinology of the Affiliated Hospital of Jiangxi University of Traditional Chinese Medicine in 2020 who met the inclusion and exclusion criteria as the study subjects. Among them which 97 patients admitted on odd days were allocated to an experimental group and they were given the combined Chinese and Western medicine continuous care intervention based on AI technology,while 96 patients admitted on even days were allocated into a control group. The control group was given the conventional health management plan for nursing intervention. After 6 months of intervention,the 2 groups were compared in terms of blood glucose index,type 2 diabetes self-management behavior scale score and quality of life scale score. Results After intervention,the FBG in the experimental group and the control group were（7.28±1.16） mmol/L and（8.22±1.95） mmol/L respectively,and the difference was statistically significant（P<0.05）. The 2HPG of the experimental group and the control group were（8.23±0.99） mmol/l and（9.94±1.75） mmol/L respectively,and the difference was significant（P<0.05）. After intervention,the self-management performance of the experimental group and the control group were 93.81% and 78.13% respectively,after intervention,the scores of self-management were 85.09±13.87 and 77.52±12.13 in the experimental group and the control group,respectively,with significant difference（P<0.05）. The total scores of quality of life in the experimental group and the control group were（118.1±37.8） and（104.1±40.4） respectively. The difference was statistically significant（P<0.01）. Conclusion The combined Chinese and Western medicine continuity of care platform for diabetic patients based on AI can effectively help patients control FBG and 2hPG levels,improve patients’ self-management,as well as quality of life,thus enhancing patients’ recovery beliefs and improving disease prognosis.

Key words: Artificial Intelligence, Chinese and Western medicine, Continuity of Care, Type 2 diabetes

摘要：

目的 基于人工智能技术构建中西医结合延续性护理平台,并探讨该平台在糖尿病患者中的应用效果。 方法 采取便利抽样法,选取江西省某三级甲等中医院内分泌科2020年收治的符合标准的2型糖尿病患者作为研究对象,其中单数日收治的97例为试验组,予以基于中西医结合延续性护理平台的干预,双数日收治的96例为对照组,以常规健康管理计划进行护理干预。比较两组干预前与干预6个月后血糖指标、2型糖尿病自我管理行为量表评分和生活质量量表评分的差异。 结果 干预后,试验组、对照组的空腹血糖分别为（7.28±1.16）、（8.22±1.95） mmol/L,差异具有统计学意义（P<0.05）;干预后,试验组、对照组的餐后2 h血糖分别为（8.23±0.99）、（9.94±1.75） mmol/L,差异具有统计学意义（P<0.05）;干预后,试验组、对照组自我管理执行度分别为93.81%、78.13%,差异具有统计学意义（P<0.05）;干预后,试验组、对照组自我管理评分分别为（85.09±13.87）、（77.52±12.13）分,差异具有统计学意义（P<0.05）;干预后,试验组、对照组的生活质量总分分别为（118.1±37.8）、（104.1±40.4）分,差异具有统计学意义（P<0.01）。 结论 基于中西医结合延续性护理平台的干预能更加有效地帮助糖尿病患者控制空腹血糖和餐后2 h血糖水平,提高其自我管理能力及生活质量。

关键词: 人工智能, 中西医结合, 延续性护理, 2型糖尿病