Application of 5G network combined with AI robots in personalized nursing in China: A literature review

The medical and healthcare industry is currently developing into digitization. Attributed to the rapid development of advanced technologies such as the 5G network, cloud computing, artificial intelligence (AI), and big data, and their wide applications in the medical industry, the medical model is shifting into an intelligent one. By combining the 5G network with cloud healthcare platforms and AI, nursing robots can effectively improve the overall medical efficacy. Meanwhile, patients can enjoy personalized medical services, the supply and the sharing of medical and healthcare services are promoted, and the digital transformation of the healthcare industry is accelerated. In this paper, the application and practice of 5G network technology in the medical industry are introduced, including telecare, 5G first-aid remote medical service, and remote robot applications. Also, by combining application characteristics of AI and development requirements of smart healthcare, the overall planning, intelligence, and personalization of the 5G network in the medical industry, as well as opportunities and challenges of its application in the field of nursing are discussed. This paper provides references to the development and application of 5G network technology in the field of medical service.

Personalized nursing improves physical condition and life quality of patients undergoing interventional therapy for liver cancer

Interventional therapy, which can prolong the survival of patients with liver cancer (LC), is an important means to treat the disease. During interventional therapy for LC, it is essential to make a targeted and detailed nursing plan to ameliorate the prognosis. The purpose of this study was to determine the application significance of personalized nursing in patients undergoing interventional therapy for LC. We retrospectively analyzed 136 patients with LC undergoing interventional therapy. Among them, 70 cases receiving personalized nursing were assigned to the observation group (OG), and the remaining 66 cases receiving routine nursing were the control group (CG). After nursing, sleep time of patients in the OG was significantly longer than that in CG. In addition, time to ambulation and hospital stay were shorter in the OG than in the CG. Furthermore, the OG exhibited significantly lower scores of visual analogue scale (VAS) and self-rating anxiety scale (SAS), as well as significantly reduced incidence of adverse reactions than the CG. Compared with the CG, the levels of serum alanine aminotransferase (AST), aspartate aminotransferase (ALT), and total bilirubin (TBIL) were significantly lower in the OG after nursing, while the level of albumin (ALB) was significantly increased. Moreover, patients in the OG showed significantly higher nursing satisfaction and quality of life scores than those in the CG. Therefore, personalized nursing has good prospects for usein interventional therapy for LC.

The application effects of personalized nursing on the perioperative period of hepatobiliary surgery: a systematic review and meta-analysis

BACKGROUND

Nursing during the perioperative period of hepatobiliary surgery is essential in the treatment and rehabilitation of patients. Personalized nursing gives full consideration to the personal characteristics of patients and encourages patients to participate in making decisions. However, compared to traditional nursing, there is insufficient evidence of the effectiveness of personalized nursing. This review sought to evaluate the effects of personalized nursing during the perioperative period of hepatobiliary surgery.

METHODS

A meta-analysis was conducted of articles published from 2010 to 2021. To identify the relevant electronic publications, the PubMed, Web of Science, Embase, CNKI, and Wanfang databases were searched for articles comparing the clinical efficacy of personalized nursing with that of traditional nursing. The standardized mean difference (SMD) and odds ratio (OR) with 95% confidence interval (CI) were used to calculate the aggregated effect index.

RESULTS

Of the 286 records retrieved from the search of the databases, 12 studies, comprising 1,039 patients, met the screening criteria. The meta-analysis showed that personalized nursing improved patients' levels of satisfaction with nursing (OR =6.871; 95% CI: 3.708-12.734), and decreased the incidence of adverse reactions significantly (OR =0.234; 95% CI: 0.153-0.357). Compared to traditional nursing, personalized nursing reduced patients' average hospitalization time, the time it took to get out of bed for the first time after surgery, the time it took to first eat after surgery, and the time it took to first exhaust after surgery. Additionally, patients who received personalized nursing had significantly reduced Self-rating Anxiety Scale (SAS) scores and Self-rating Depression Scale (SDS) scores than patients who received traditional nursing.

DISCUSSION

The application of personalized nursing to patients undergoing hepatobiliary surgery during the perioperative period improved patients' level of satisfaction with nursing, effectively reduced the incidence of adverse reactions, accelerated the recovery of hepatobiliary function after surgery, and relieved anxiety and depression; thus, personalized nursing is worthy of clinical application.

The risk factors of autogenous arteriovenous fistula dysfunction in maintenance hemodialysis patients and the curative effect of personalized nursing

OBJECTIVE

To explore the effect of individualized nursing intervention on autologous arteriovenous fistula (AVF) dysfunction and the risk factors leading to failures in maintenance hemodialysis (MHD) patients.

METHODS

A total of 196 patients undergoing MHD in our hospital from March 2017 to May 2019 were recruited as the study cohort and divided into two groups according to the nursing method each patient underwent. The patients who underwent individualized nursing intervention were placed in the research group (RG, n = 107), and the patients who underwent routine nursing intervention were placed in the control group (CG, n = 89). The proportion of patients with primary dysfunction in the use of AVF was recorded, and the patients' psychological states, treatment compliance, and self-nursing abilities in the two groups before and after the nursing intervention were observed. The complications, the life treatment scores, and the patients' nursing satisfaction were recorded after the nursing intervention. A logistic regression analysis was performed for the patients with initial AVF dysfunction.

RESULTS

Compared with the CG, the patients in the RG after the nursing intervention had statistically lower AVF dysfunction rates, notably lower SAS and SDS scores, remarkably higher total compliance rates and ESCA scores, and a dramatically lower total incidence of complications. AVF dysfunction occurred in 26 of 196 patients (13.4%) during the follow-up, with an increased risk of AVF loss in patients over 60 years old, lower blood pressure, higher hemoglobin concentrations, lower treatment compliance, self-care inability, and routine nursing interventions. After the nursing, the WHOQOL-BREF and nursing satisfaction scores in the RG were noticeably higher than they were in the CG.

CONCLUSION

Autologous AVF dysfunction is the result of multiple risk factors, and personalized nursing can reduce the incidence of complications, improve patients' treatment compliance and self-care abilities, and ameliorate their quality of life.