The Influence Mechanism of Information Interaction on Value Cocreation Based on the Smart Healthcare Context

Zhang, Lan; Xia, Yang; Zhou, Yuan; Sun, Jianguo; Lin, Zixiang

doi:10.1155/2021/8778092

Cited by 6 publications

(7 citation statements)

References 34 publications

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“…China's exploration of smart medical care lies in the design of the hospital service environment and service process, the behavioral psychology of patients seeking medical treatment, their attitude towards mobile medical care, and the advantages of mobile medical treatment. It was not until the early 1990s that the application of smart medical care appeared; that is, the PLA General Hospital conducted a joint consultation with a foreign hospital through remote video [ 21 , 22 ]. But until now, the technology has not been widely used in China.…”

Section: Methods For the Selection Of T1 Stage Renal Tumor Resection ...mentioning

confidence: 99%

Surgical Selection of T1 Stage Renal Tumor Resection Based on Imaging MAP Score under Smart Medical Care

Zong

Xia

Zhang

et al. 2022

Computational Intelligence and Neuroscience

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Smart medical uses the medical information platform and the current technological means to enable the process of sharing information between medical staff and medical equipment. The combination of current technology and the medical field has become the norm. In the future, more artificial intelligence technologies will be integrated into the medical field to promote the development of medical care. At present, the information on the Internet is very large and complex, and general search engines often do not have knowledge in certain professional fields and can only perform shallow keyword searches. Therefore, it is difficult to meet people’s medical diagnosis needs, and smart medical care can solve these needs. Medical imaging refers to the technology or process of obtaining internal tissue images of a certain part of the human body for medical research, including medical imaging systems and medical image processing. Medical image processing refers to the further processing of the obtained images, the purpose of which is either to restore the original image that was not clear enough or to highlight some characteristic information in the image. The purpose of this paper is to study the research on the selection of T1 stage renal tumor resection based on the imaging MAP score under smart medical care. It is hoped that through smart medicine and medical imaging technology, it can help renal tumor resection, reduce the sequelae of renal tumor resection, and promote the development of medical services. This paper proposes applying natural language processing technology to the medical field, creating an intelligent diagnosis assistance system, and using the existing medical record data to realize the corresponding medical assistance functions. It studies the class imbalance problem prevalent in medical datasets and provides better solutions through ensemble learning techniques to improve classifier performance when the number of positive and negative samples is unbalanced. The experimental results in this paper show that the creatinine of patients undergoing renal tumor resection combined with smart medicine and imaging technology is stable at 75 mol/L, while the creatinine is stable at 71 mol/L in other methods. It shows that the postoperative effect of smart medical treatment and imaging technology is better.

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Section: Methods For the Selection Of T1 Stage Renal Tumor Resection ...mentioning

confidence: 99%

Surgical Selection of T1 Stage Renal Tumor Resection Based on Imaging MAP Score under Smart Medical Care

Zong

Xia

Zhang

et al. 2022

Computational Intelligence and Neuroscience

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show abstract

“…In traditional medical services, each part of the information is in a single state. They cannot be shared in real time, which leads to a drop in service efficiency [ 13 ]. The smart medical service platform connects various parts to each other, so that the medical data of each part can be shared.…”

Section: Surgical Strategy and Prognosis Of Pancreatic Neuroendocrine...mentioning

confidence: 99%

[Retracted] Surgical Strategy and Prognosis of Pancreatic Neuroendocrine Tumors Based on Smart Medical Imaging

Huang

Yin

et al. 2022

Contrast Media & Molecular Imaging

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It is imperative to seize the “golden rescue time” and implement new concepts and new skills in modern trauma rescue. Combining with the development background of smart medical image analysis, this topic focuses on surgical strategies and prognostic measures and studies a serious and difficult disease frequently occurring in middle-aged and elderly people: pancreatic neuroendocrine tumors. This article uses the comparative test method and sample collection method to collect the medical records of patients with neuroendocrine tumors diagnosed by pathology from July 2010 to January 2018 in the First Affiliated Hospital of X City and analyze the samples with gender and age. At the same time, routine tumor marker examination and the location of NEN in the digestive system were performed. The distribution analysis of EUS characteristics of neuroendocrine tumor mucosa in each site was performed after operation, and the analysis of survival-related factors was performed during postoperative follow-up. The experimental data showed that among the tumor causes, WHO tumor grade ( p < 0.05 ) and whether the surgical method was R0 resection ( p < 0.05 ) were associated with prognosis. However, factors such as gender, age, and functional status were associated with prognosis. It has successfully completed the subject of surgical strategy and prognosis of pancreatic neuroendocrine tumors based on smart medical image analysis.

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“…With the continuous development and progress of Internet technology, smartphones now intelligently combine different fields, such as education, medical care, transportation, and finance. Internet smart pension also provides a feasible idea for aging policy [ 2 ]. With the help of smartphones, many online health services and communication platforms have gradually emerged in many countries in recent years, which is also considered as an important development trend for the future elderly health industry [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

The effect of smartphones on the self-rated health levels of the elderly

2022

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Background Due to the penetration of Internet use and the popularity of “Internet + elderly care” among seniors in recent years, the elderly are gradually integrating into the information society. This study examined the impact of smartphones on the self-rated health levels of the elderly. Methods We studied 3042 elderly people over 55 years of age in Jiangxi, China in 2018. The effect of smartphones was measured from three aspects: smartphone usage, smartphone usage ability, and smartphone usage purpose, and the multivariate ordered logistic model was applied. Furthermore, considering the potential endogeneity of the smartphone usage of elderly people, the propensity score matching (PSM) method was used to analyze the net effect of smartphones on the health levels of the elderly. Results (1) The use of smartphones had a significant positive impact on the self-rated health levels of the elderly, with its significance being at the level of 1%. Smartphone usage ability, and using smartphone to learn or search for health information, had significant positive impacts (at the level of 5%) on the self-rated health levels of the elderly. (2) The k-nearest neighbor matching, kernel matching and radius matching methods were used to calculate the net effect of smartphone usage on the self-rated health levels of the elderly. The results were 13.26, 15.33 and 14.80%, respectively. (3) The age of the participants significantly (at the level of 1%) negatively affected their self-rated health levels. Other characteristics of the elderly, including income, education level, living with children or spouse and children’s living conditions, significantly (all at the level of 1%) positively affected their self-rated health levels. Conclusions Smartphone usage, smartphone usage ability, and smartphone usage purposes all improved the self-rated health of the elderly. The Internet factor should be focused on in the process of active aging. We should improve the Internet use ability of the elderly through voluntary training or public lectures.

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The Influence Mechanism of Information Interaction on Value Cocreation Based on the Smart Healthcare Context

Cited by 6 publications

References 34 publications

Surgical Selection of T1 Stage Renal Tumor Resection Based on Imaging MAP Score under Smart Medical Care

Surgical Selection of T1 Stage Renal Tumor Resection Based on Imaging MAP Score under Smart Medical Care

[Retracted] Surgical Strategy and Prognosis of Pancreatic Neuroendocrine Tumors Based on Smart Medical Imaging

The effect of smartphones on the self-rated health levels of the elderly

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