Previously submitted to: JMIR Medical Informatics (no longer under consideration since Nov 04, 2021)
Date Submitted: Mar 29, 2020
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Effect of Continuous Nursing Intervention of Artificial Intelligence on Discharged Patients after Heart Valve Replacement and Application of Omaha System
ABSTRACT
The purpose of this study is to explore the effect of continuous nursing system of artificial intelligence (AI) on patients discharged from hospital after heart valve replacement (HVR) and the application value of Omaha system. The patients undergoing HVR were taken as the research objects and divided into control group (routine nursing) and observation group (continuous nursing). Through the continuous nursing system of AI, the patients discharged from the hospital were monitored remotely, and the vital signs of patients were analyzed by AI. Different nursing methods were used to intervene the patients. Nursing evaluation data were used for nursing evaluation of patients undergoing HVR. Activity of Daily Life Scale (ADL) was used to evaluate patients' daily living ability, health status questionnaire was used to evaluate patients' health status, and World Health Organization Quality of Life-Brief version (WHOQOL-BREF) was used to evaluate patients' quality of life. The results showed that, before intervention, there was no significant difference in the scores of ADL between the control group and the observation group, with no statistical significance (P > 0.05). After intervention, the scores of ADL in the observation group were higher than those in the control group (P < 0.05), and the differences were statistically significant (P < 0.05); before intervention, the scores of ADL in the control group were higher than those in the control group, with statistical significance (P < 0.05). Before intervention, there was no significant difference in the health status questionnaire score between the control group and the observation group, without statistical significance (P > 0.05). After intervention, the health status questionnaire score of the observation group was higher than that of the control group, and the difference was statistically significant (P < 0.05). Before intervention, there was no significant difference in WHO quality of life evaluation score between the control group and the observation group, without statistical significance (P > 0.05). After intervention, the WHO quality of life evaluation score of the observation group was higher than that of the control group, and the difference was statistically significant (P < 0.05). After intervention, the KBS evaluation of nursing problem outcomes in the observation group was higher than that before intervention, and the difference was statistically significant (P < 0.05). In conclusion, the continuous nursing system of AI based on Omaha system can effectively evaluate the nursing problems of patients after discharge and improve the quality of life of patients, which has important application value.
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