Abstract
With the rapid development of society and the gradual improvement of people's living standards, patients with cardiovascular diseases have higher standards and requirements for daily health care and quality of life. The main research of this article is based on the observation of the effect of smart medical nursing intervention on the sleep quality of cardiology patients. The convenience sampling method was used to randomly select 80 cardiology patients from the electronic medical record system of the hospital, and the patients were randomly divided into two groups. One group was the control group. The routine nursing method was adopted, and a dedicated nurse paid attention to the sleep status; the other group was the control group. The research group adopts targeted nursing methods. This paper selects three kinds of sensor data as features. When collecting each scene record, it is first divided into sleeping and awake states, and then the classified time is composed of time segments, and these time segments are finally accumulated into sleep duration. Using sleep time, waking time, and sleep duration as input, the participants were divided into good sleepers and poor sleepers. Through a self-made questionnaire survey, the factors that have an adverse effect on the patient's sleep are divided into 7 aspects. Using the method of internal continuity measurement, Cronbach's coefficient a is 0.811, suggesting that the internal consistency is better, and the calculation reliability and validity are 86.1% and 83.4%, respectively, suggesting that the table can be used for sleep in hospitalized patients. The P values of the study group and the control group were 0.420, 0.764, 0.740, 0.881, 0.842, 0.119, and 0.342 (P > 0.05). The results show that the application of smart medical services has a certain effect on the patient's sleep quality.
Highlights
With the continuous development of medical standards, people have higher and higher requirements for medical and health care
Smart medical services enable people to enjoy the same monitoring effects of hospitals at low prices in the community or at home, greatly reduce the cost of patients with cardiovascular diseases in hospitals, and improve the quality of life of patients with cardiovascular diseases. For those who are diagnosed with sleep problems, traditional sleep assessment requires the patient to go to a special clinic and requires special monitoring equipment, which are expensive and not suitable for long-term monitoring. erefore, only the use of cheaper and more convenient sleep monitoring methods can be more conducive to self-management and long-term sleep monitoring
Sleep Quality Assessment. rough a self-made questionnaire survey on the factors that have adverse effects on patients’ sleep, the influencing factors are divided into 7 aspects, including noise, sleeping environment, discomfort caused by disease, discomfort caused by medical treatment, worry about the condition, economic burden, and lifestyle habits
Summary
With the continuous development of medical standards, people have higher and higher requirements for medical and health care. Smart medical services enable people to enjoy the same monitoring effects of hospitals at low prices in the community or at home, greatly reduce the cost of patients with cardiovascular diseases in hospitals, and improve the quality of life of patients with cardiovascular diseases. For those who are diagnosed with sleep problems, traditional sleep assessment requires the patient to go to a special clinic and requires special monitoring equipment, which are expensive and not suitable for long-term monitoring. Rough this research, nurses can understand the status quo of sleep quality, negative emotion, and quality of life of cardiology patients and clarify the relationship between them. ey provide a reference for clinical medical staff in the process of treating and nursing patients, improving the patient’s sleep quality, reducing negative emotions, and improving the quality of life
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