Department of Nursing, Affiliated Hospital of Shaoxing University, Shaoxing, Zhejiang, China.
Hepatobiliary and Pancreatic Surgery, Affiliated Hospital of Shaoxing University, Shaoxing, Zhejiang, China.
Br J Hosp Med (Lond). 2024 Aug 30;85(8):1-13. doi: 10.12968/hmed.2024.0112.
Artificial intelligence technology has attained rapid development in recent years. The integration of artificial intelligence applications into pressure reduction mattresses, giving rise to artificial intelligence-powered pressure reduction mattresses, is expected to provide personalised intelligent pressure reduction solutions, through automatic user's data-based adjustment of the patient's local pressure condition to prevent pressure injury. The purpose of this study was to investigate the effectiveness of artificial intelligence-powered smart decompression in the prevention of postoperative medium- and high-risk pressure injury in middle-aged and elderly patients. A total of 400 middle-aged and elderly patients admitted to our hospital from June 2021 to December 2023 were selected as study subjects. Patients were categorised into observation and control groups according to the medical record system. General demographic data of the patients were collected. The propensity score matching method was used to balance the baseline data of the two groups of patients. The incidence, severity, complications and sleep quality in the matched study subjects were also compared. After matching, there were 96 patients in the two groups, and the differences in baseline data between the two groups were not statistically significant. Pressure injury and the total incidence of complications in the observation group were significantly lower than those in the control group ( < 0.05). Before treatment, there was no difference in the scores of all aspects of the Richards Campbell Sleep Questionnaire between the two groups ( > 0.05). After treatment, the scores of all aspects of Richards Campbell Sleep Questionnaire in the observation group were significantly lower than those in the control group ( < 0.05). The artificial intelligence-powered smart decompression mattress can significantly prevent moderate- and high-risk pressure injury, effectively reducing the incidence of pressure injury and complications in postoperative long-term bedridden patients, alleviating the severity of pressure injury, relieving the pressure on various parts, and improving the sleep quality of patients.
人工智能技术近年来发展迅速。将人工智能应用与减压床垫相结合，产生人工智能驱动的减压床垫，有望通过自动根据用户数据调整患者局部压力状况，提供个性化的智能减压解决方案，以预防压力损伤。本研究旨在探讨人工智能驱动的智能减压在预防中老年患者术后中高危压力损伤中的有效性。
选取 2021 年 6 月至 2023 年 12 月我院收治的 400 例中老年患者为研究对象。根据病历系统将患者分为观察组和对照组。收集患者一般人口统计学数据。采用倾向性评分匹配法平衡两组患者的基线数据。比较匹配研究对象的发生率、严重程度、并发症和睡眠质量。
匹配后两组各有 96 例患者，两组患者的基线数据差异无统计学意义。观察组压疮及总并发症发生率明显低于对照组（<0.05）。治疗前两组 Richards Campbell 睡眠问卷各方面评分无差异（>0.05）。治疗后观察组 Richards Campbell 睡眠问卷各方面评分均明显低于对照组（<0.05）。
人工智能驱动的智能减压床垫能显著预防中高危压力损伤，有效降低术后长期卧床患者压疮发生率和并发症发生率，减轻压疮严重程度，缓解各部位压力，提高患者睡眠质量。
