Postoperative self-care ability of continuous nursing based on artificial intelligence for stroke patients with neurological injury

IF 2.5 4区医学 Q3 BIOCHEMICAL RESEARCH METHODS

SLAS Technology Pub Date : 2025-05-12 DOI:10.1016/j.slast.2025.100299

Hui Zhao , Na Li , Jianmei Zhang

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引用次数: 0

Abstract

According to the statistics of relevant data, stroke is a relatively common cerebrovascular disease, and its incidence rate is as high as 185/100,000 to 219/100,000. Continuous care can improve the quality of life of stroke patients and reduce the rate of hospital visits and hospitalizations. In this study, patients in a local hospital of third-grade class-A hospital were used as cases. Artificial intelligence was used to conduct continuous nursing intervention for the patients who were discharged from the stroke by using the WeChat platform, regular follow-up and home care. Afterwards, the collected data were given a post-processing, independent-samples t-test for two groups. After 3 months of extended care, the BI (Barthel Index) score of the intervention group has increased by 23.87 points, and the depression self-rating scale score has decreased by 9.12 points. Compared with the control group, the patients' self-care ability, depression state, compliance with health guidance and laboratory indicators were also better than those in the control group, and the differences were statistically significant (P < 0.05). Compared with the control group, the trend of increasing the scores of each index was more significant in the intervention group.

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基于人工智能的脑卒中神经损伤患者术后自我护理能力研究

据相关资料统计，中风是一种比较常见的脑血管疾病，其发病率高达185/10万~ 219/10万。持续护理可以改善脑卒中患者的生活质量，降低住院率。本研究以某地方三级甲等医院的患者为病例。采用人工智能对脑卒中出院患者进行持续护理干预，采用微信平台，定期随访，居家护理。之后，对收集到的数据进行后处理，对两组进行独立样本t检验。延长护理3个月后，干预组BI （Barthel指数）得分提高23.87分，抑郁自评量表得分下降9.12分。与对照组比较，患者的生活自理能力、抑郁状态、健康指导依从性、实验室指标均优于对照组，差异均有统计学意义(P <；0.05)。与对照组相比，干预组各指标得分的上升趋势更为显著。

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来源期刊

SLAS Technology Computer Science-Computer Science Applications

CiteScore

6.30

自引率

7.40%

发文量

审稿时长

106 days

期刊介绍： SLAS Technology emphasizes scientific and technical advances that enable and improve life sciences research and development; drug-delivery; diagnostics; biomedical and molecular imaging; and personalized and precision medicine. This includes high-throughput and other laboratory automation technologies; micro/nanotechnologies; analytical, separation and quantitative techniques; synthetic chemistry and biology; informatics (data analysis, statistics, bio, genomic and chemoinformatics); and more.