频繁模式树增长算法在急诊设备压力性损伤评估与管理应对中的价值研究  

Application of FP-growth algorithm in the assessment and management of emergency equipment pressure injury

作　　者：刘红 许艳 梁妮妮 刘瑞凤[4] LIU Hong;XU Yan;LIANG Ni-ni(不详;Emergency Infusion Room,The Affiliated Huai'an Hospital of Xuzhou Medical University(Huai'an Second People's Hospital),Huai'an 223001,China)

机构地区：[1]徐州医科大学附属淮安医院(淮安市第二人民医院)急诊输液室,江苏淮安223001 [2]徐州医科大学附属淮安医院(淮安市第二人民医院)急诊科,江苏淮安223001 [3]连云港市第二人民医院(连云港市肿瘤医院)急诊医学科,江苏连云港222000 [4]连云港市第二人民医院(连云港市肿瘤医院)老年医学中心,江苏连云港222000

出　　处：《中国医学装备》2022年第7期137-141,共5页China Medical Equipment

摘　　要：目的:基于频繁模式树增长(FP-Growth)算法构建风险评估模型,探讨其在急诊医疗器械相关压力性损伤(MDRPI)评估和管理应对中的应用价值。方法:选取医院接治的489例急诊患者,根据MDRPI评估与管理模式不同将其分为对照组(237例)和观察组(252例),在患者救治使用的急救设备中对照组采用传统预防模式管理,观察组采用风险评估模式管理,基于FP-Growth算法挖掘临床MDRPI高频诱发因素,从风险评估、设备选用、皮肤监测和健康宣教4个方面进行风险预防和护理管理,对比两组MDRPI发生率、MDRPI临床分期和急诊设备质量的差异性。结果:观察组外伤、心脑血管病、急腹症、妇产、中毒及其他类型急诊患者MDRPI发生率低于对照组,差异有统计学意义(x^(2)=4.200,x^(2)=5.117,x^(2)=6.935,x^(2)=4.636,x^(2)=5.979,x^(2)=5.107;P<0.05);观察组MDRPI患者中1期、2期、3期和4期压力性损伤发生率好于对照组,差异有统计学意义(x^(2)=35.388,x^(2)=4.219,x^(2)=4.450,x^(2)=4.149;P<0.05);观察组相关的急诊科医生、护士和医学工程处工程师及患者对急诊设备临床服务满意度高于对照组,差异有统计学意义(F=7.549,F=24.484,F=8.624,F=6.799;P<0.05)。结论:基于FP-Growth算法的风险评估模型,能够有效检测急诊科MDRPI的高频诱发因素,控制MDRPI发生率和临床分期,提高急诊设备临床服务质量。Objective:To establish a risk assessment model based on Frequent Pattern Tree Growth(FP-growth)algorithm and to explore its application value in the assessment and management of emergency medical device related pressure injury(MDRPI).Methods:A total of 489 emergency patients treated in hospital were selected and divided into control group(237 cases)and observation group(252 cases)according to MDRPI assessment and management mode.The control group adopted the traditional prevention mode.The observation group adopted the risk assessment mode,based on the FP-Growth algorithm to mine the high-frequency inducing factors of clinical MDRPI,and carried out risk prevention and nursing management from the four aspects of risk assessment,equipment selection,skin monitoring and health education.The differences in the incidence of MDRPI,clinical stage of MDRPI and the quality of emergency equipment were compared between the two groups.Results:The incidence of MDRPI in patients with trauma,cardiovascular and cerebrovascular diseases,acute abdomen,obstetrics and gynecology,poisoning and other types of emergency in the observation group was lower than that in the control group,the difference was statistically significant(x^(2)=4.200,x^(2)=5.117,x^(2)=6.935,x^(2)=4.636,x^(2)=5.979,x^(2)=5.107;P<0.05);the incidence rates of stage 1,stage 2,stage 3 and stage 4 pressure injury in MDRPI patients in the observation group were better than those in the control group,the difference was statistically significant(x^(2)=35.388,x^(2)=4.219,x^(2)=4.450,x^(2)=4.149;P<0.05);the satisfaction of emergency physicians,nurses,engineers of medical engineering department and patients with clinical services of emergency equipment in the observation group was higher than that of the control group,the difference was statistically significant(F=7.549,F=24.484,F=8.624,F=6.799;P<0.05).Conclusion:The risk assessment model based on FP-growth algorithm can effectively detect the high-frequency inducing factors of MDRPI in the emergency department,control the i

关 键 词：急诊设备 压力性损伤 频繁模式树增长(FP-Growth)算法 风险评估 医疗器械相关压力性损伤(MDRPI) 

分 类 号：R197.39[医药卫生—卫生事业管理]