Background: The doctor-patient relationship is very important for healthcare quality. Improving the patients satisfaction is important for doctor-patient relationship. The relationship between patients with chronic disease and doctors often established in the process of physical examination in outpatient clinics. The use of artificial intelligence (AI) in the Internet of Health Thing (loHT) introduce the possibility of developing an intelligent system in hospital to establish a good doctor-patient relationship through improving the satisfaction of patients. We aimed to establish an intelligent physical examination system and preliminarily investigate its effect on improving the satisfaction of patients with chronic disease. Methods: An intelligent chronic disease management system based on the AI in the internet of health things was established. This system was combined with traditional Chinese medicine and western medicine. A total of 115 patients with chronic disease, who underwent physical examination in our hospital from August, 2019 to November, 2019 were enrolled in this study. Among them, 55 patients were in the intelligent system (intelligent group) and 60 patients were in the traditional system (control group). We collected the satisfaction questionnaire of patients who took physical examination in these two systems. Satisfaction score between intelligent group and control group was compared. Results: A total of 106 patients were finally taken into analyzed . There was no statistical difference in age, gender , education or income level between intelligent group and control group. We found significant differences in the five aspects of satisfaction (1 . the physical examination environment; 2.the attitude and responsiveness of doctors; 3.the attitude and responsiveness of nurses ; 4.the effectiveness of getting results; 5.the information of physical examination and medical advices) (p < 0.05). Moreover, in the logistic regression, the differences were still statistically significant after adjusting age, gender, education and income level. Conclusions: The intelligent physical examination system might be an effective tool in improving the satisfaction of patients with chronic disease. This could play an important role in establishing a good doctor-patient relationship .
Objective: The main purpose of this paper is to investigate sleep quality in the withdrawal of medical members dispatched to control the Corona Virus Disease 2019(COVID-19) outbreak in Wuhan, Hubei province, China. Methods: Forty-seven medical members (including twenty medical members treating mild COVID-19, seventeen medical members treating severe COVID-19 and ten logistics team members) completed questionnaire using Pittsburgh Sleep Quality Index. Pittsburgh Sleep Quality Index (PSQI) was used to evaluate the sleep quality of the medical members. Results: A total of forty-seven medical members participated in the sleep quality survey. The PSQI total scores are 5.6±4.3, 11.0±5.0 and 3.4±2.0 in treating mild COVID-19, treating severe COVID-19 and logistics team members, respectively. Medical members treating patients with severe COVID-19 had significantly higher PSQI total scores than those who facing up to the patients with mild COVID-19 and logistics team members. (P<0.005). The components of PSQI such as sleep duration and sleep medications were significantly higher in medical members treating patients with severe COVID-19 than those who facing up to the patients with mild COVID-19 and logistics team members (P<0.005). The components of PSQI such as sleep quality and daytime dysfunction were worse in medical members treating patients with severe COVID-19 than logistics team members (P<0.005).Conclusions: Findings indicate that medical members treating patients with severe COVID-19 had worse sleep quality than who facing up to the patients with mild COVID-19 and logistics team members.
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