AIM: To examine the feasibility and validity of electronic generation of quality metrics in the intensive care unit(ICU).METHODS: This minimal risk observational study was performed at an academic tertiary hospital. T...AIM: To examine the feasibility and validity of electronic generation of quality metrics in the intensive care unit(ICU).METHODS: This minimal risk observational study was performed at an academic tertiary hospital. The Critical Care Independent Multidisciplinary Program at Mayo Clinic identified and defined 11 key quality metrics. These metrics were automatically calculated using ICU Data Mart, a near-real time copy of all ICU electronic medical record(EMR) data. The automatic report was compared with data from a comprehensive EMR review by a trained investigator. Data was collected for 93 randomly selected patients admitted to the ICU during April 2012(10% of admitted adult population). This study was approved by the Mayo Clinic Institution Review Board.RESULTS: All types of variables needed for metric calculations were found to be available for manual and electronic abstraction, except information for availability of free beds for patient-specific time-frames. There was 100% agreement between electronic and manual data abstraction for ICU admission source, admission service, and discharge disposition. The agreement between electronic and manual data abstraction of the time of ICU admission and discharge were 99% and 89%. The time of hospital admission and discharge were similar for both the electronically and manually abstracted datasets. The specificity of the electronically-generated report was 93% and 94% for invasive and non-invasive ventilation use in the ICU. One false-positive result for each type of ventilation was present. The specificity for ICU and in-hospital mortality was 100%. Sensitivity was 100% for all metrics.CONCLUSION: Our study demonstrates excellent accuracy of electronically-generated key ICU quality metrics. This validates the feasibility of automatic metric generation.展开更多
目的通过智能化质控提高电子病案首页质量来进一步提升三级公立医院绩效考核评分,使医院得到更精细化的发展。方法运用戴明环(plan-do-check-act,PDCA)的方法进行病案质量控制,选取常州市第四人民医院2022年7—12月的出院病历共15814份...目的通过智能化质控提高电子病案首页质量来进一步提升三级公立医院绩效考核评分,使医院得到更精细化的发展。方法运用戴明环(plan-do-check-act,PDCA)的方法进行病案质量控制,选取常州市第四人民医院2022年7—12月的出院病历共15814份作为非PDCA组,2023年7—12月的出院病历共17684份作为PDCA组。比较2组住院病案首页基本信息与逻辑信息两大类质控项目中各项目缺陷率。结果PDCA组基本信息中漏填籍贯标准地址库代码为0,漏填付费方式为0,婚姻填写错误0.03%,漏填身份证号码为0.24%,逻辑性信息中漏填病理诊断附码为0.37%,主要诊断编码为国际疾病分类(international classification of diseases,ICD)编码S或者T开头的编码漏填损伤中毒码为0,疾病诊断编码错误为1.39%,手术操作编码错误为0.61%,漏填手术操作记录为0,漏填血型为0,漏填离院方式为0,死亡患者尸检填写错误为0,低于非PDCA组的100%、0.06%、1.39%、0.66%、5.82%、0.26%、4.07%、2.18%、0.92%、0.47%、0.57%、100%,差异有统计学意义(P<0.001)。结论医院需要通过加大病案首页填报培训、管理部门强化质量监管,加强病案信息实时监控系统,多部门联动,重视住院病案首页质量,提高三级公立医院绩效考核中的评分等级。展开更多
文摘AIM: To examine the feasibility and validity of electronic generation of quality metrics in the intensive care unit(ICU).METHODS: This minimal risk observational study was performed at an academic tertiary hospital. The Critical Care Independent Multidisciplinary Program at Mayo Clinic identified and defined 11 key quality metrics. These metrics were automatically calculated using ICU Data Mart, a near-real time copy of all ICU electronic medical record(EMR) data. The automatic report was compared with data from a comprehensive EMR review by a trained investigator. Data was collected for 93 randomly selected patients admitted to the ICU during April 2012(10% of admitted adult population). This study was approved by the Mayo Clinic Institution Review Board.RESULTS: All types of variables needed for metric calculations were found to be available for manual and electronic abstraction, except information for availability of free beds for patient-specific time-frames. There was 100% agreement between electronic and manual data abstraction for ICU admission source, admission service, and discharge disposition. The agreement between electronic and manual data abstraction of the time of ICU admission and discharge were 99% and 89%. The time of hospital admission and discharge were similar for both the electronically and manually abstracted datasets. The specificity of the electronically-generated report was 93% and 94% for invasive and non-invasive ventilation use in the ICU. One false-positive result for each type of ventilation was present. The specificity for ICU and in-hospital mortality was 100%. Sensitivity was 100% for all metrics.CONCLUSION: Our study demonstrates excellent accuracy of electronically-generated key ICU quality metrics. This validates the feasibility of automatic metric generation.
文摘目的通过智能化质控提高电子病案首页质量来进一步提升三级公立医院绩效考核评分,使医院得到更精细化的发展。方法运用戴明环(plan-do-check-act,PDCA)的方法进行病案质量控制,选取常州市第四人民医院2022年7—12月的出院病历共15814份作为非PDCA组,2023年7—12月的出院病历共17684份作为PDCA组。比较2组住院病案首页基本信息与逻辑信息两大类质控项目中各项目缺陷率。结果PDCA组基本信息中漏填籍贯标准地址库代码为0,漏填付费方式为0,婚姻填写错误0.03%,漏填身份证号码为0.24%,逻辑性信息中漏填病理诊断附码为0.37%,主要诊断编码为国际疾病分类(international classification of diseases,ICD)编码S或者T开头的编码漏填损伤中毒码为0,疾病诊断编码错误为1.39%,手术操作编码错误为0.61%,漏填手术操作记录为0,漏填血型为0,漏填离院方式为0,死亡患者尸检填写错误为0,低于非PDCA组的100%、0.06%、1.39%、0.66%、5.82%、0.26%、4.07%、2.18%、0.92%、0.47%、0.57%、100%,差异有统计学意义(P<0.001)。结论医院需要通过加大病案首页填报培训、管理部门强化质量监管,加强病案信息实时监控系统,多部门联动,重视住院病案首页质量,提高三级公立医院绩效考核中的评分等级。
