Application Analysis Based on Big Data Technology in Stroke Rehabilitation Nursing

Abstract

According to the statistical analysis, the incidence of stroke disease has gradually increased, particularly in recent years, which poses a huge threat to the safety of human life. Due to the advancement in science and technology specifically big data and sensors, a new research dome known as data mining technology has been introduced, which has the potential value from the perspective of large amount of data analysis. Information has become a new trend of science and technology, and data mining has been used in various application areas to analyze and predict strokes at home and abroad. In this study, big data technology is utilized to collect potential information and explores clinical pathways of level-3 rehabilitation in certain regions of China. Moreover, application effects of data mining in the rehabilitation of patients with the first ischemic stroke have been evaluated and reported. For this purpose, fifty (50) first-time ischemic stroke patients have been screened through big data and were nonartificially assigned to level-3 clinical pathway and conventional rehabilitation groups, respectively, specifically through software. The first group of patients enters the clinical path of the corresponding level according to the way of three-level referral. These patients were analyzed based on the collected results of completing the unified rehabilitation treatment plan of the three-level rehabilitation medical institution in the patient record form. The second group was selected according to the routine rehabilitation model and method of the medical institution where the patients visited were divided into four stages: before treatment, three weeks after treatment, nine weeks after treatment, and seventeen weeks after treatment. For this purpose, a simplified Fugl-Meyer analysis (FMA), recording of various functions of limb movement, and modified Barthel index (MBI) scale were used to analyze and evaluate the ability of daily activities and compare their effects. The final results showed that FMA and MBI scores of the two groups were improved in the three stages after treatment. The FMA and MBI scores of the clinical pathway group on 3rd and 9th weekends were significantly different from those of the conventional rehabilitation group (which is p < 0.05 ). Moreover, difference in FMA and MBI scores between the two at the 17th weekend was not significant. The total cost of the clinical pathway group, particularly at the ninth weekend, was higher than that of the conventional rehabilitation group, but the cost-benefit ratio was better and the incidence of complications was lower than that of the other group.

Design and implementation of informatization for unified management of stroke rehabilitation in urban multi-level hospitals

“…This study found that the three-level stroke RIMS not only improved the efficiency of daily stroke management but also improved the satisfaction and clinical outcomes of stroke patients. This observation was consistent with the findings of Xu et al (2021) .…”

“…Previous studies have shown that clinical pathways can significantly reduce the length of hospital stay and the cost of stroke care for patients ( Deng et al, 2014 ; Pilato et al, 2021 ). The three-level rehabilitation, also known as the regional clinical pathway ( Fujino et al, 2014 ), is a seamless integration of the acute stroke clinical pathway (Stroke Unit), the convalescent clinical pathway, and the chronic clinical pathway ( Xu et al, 2021 ). This facilitates the discharge of stroke patients with significant burdens and allows the tertiary hospitals to accept patients with severe conditions ( Van der Cruyssen et al, 2015 ) and refer discharged patients to the next level of the hospital for appropriate treatment according to their condition, thus saving treatment costs without reducing the treatment effect.…”

“…The officials advocate the establishment of a three-level stroke rehabilitation service system ( Chen et al, 2010 ), with primary rehabilitation for acute and sub-acute stroke rehabilitation in tertiary hospitals or tertiary rehabilitation hospitals, secondary rehabilitation for convalescent phase of stroke in secondary hospitals or secondary rehabilitation hospitals, and tertiary rehabilitation for chronic phase of stroke in community health service centers or township health centers or families. Although the three-level stroke rehabilitation system has established recommended referral criteria and treatment protocols ( Xu et al, 2021 ), the lack of uniform management practices across all levels of care may delay the treatment due to poor referral, indicating that coordinating the treatment of stroke patients between the acute, convalescent, and chronic phases is essential ( Kinoshita et al, 2021 ).…”

Retracted: Application Analysis Based on Big Data Technology in Stroke Rehabilitation Nursing

“…This article has been retracted by Hindawi, as publisher, following an investigation undertaken by the publisher [ 1 ]. This investigation has uncovered evidence of systematic manipulation of the publication and peer-review process.…”