Contemporary Nursing

Objective To explore and analyze the application effect of artificial intelligence in the health management of two chronic diseases. Methods A total of 102 patients with chronic diseases admitted to the hospital between July 2023 and July 2024 were selected as the subjects of this study. Based on the patients date of birth, 102 patients with chronic diseases were randomly divided into a control group and an observation group using a random number table method. The control group received routine health management, while the observation group received AI based health management. After the intervention, the blood glucose and blood pressure indicators of the two groups of patients were compared. Results In terms of blood glucose indicators, there was no significant difference between the two groups of patients before intervention, P>0.05. After intervention, the 2-hour postprandial blood glucose and fasting blood glucose indicators in the observation group were lower than those in the control group, P<0.05. In terms of blood pressure indicators, there was no significant difference between the two groups of patients before intervention, P>0.05. After intervention, the systolic and diastolic blood pressure in the observation group were lower than those in the control group, P<0.05. Conclusion Health management based on artificial intelligence can significantly improve blood glucose and blood pressure indicators in patients with chronic diseases, and it is worth promoting and applying.

Two chronic diseases; artificial intelligence; Health management; Blood pressure indicators; Blood glucose indicators