University of Illinois at Chicago, College of Medicine, Department of Medicine, University of Illinois Medical Center, Chicago, Illinois, United States.
Int J Med Inform. 2010 May;79(5):332-8. doi: 10.1016/j.ijmedinf.2008.05.005. Epub 2008 Jul 2.
The problem list is a key and required element of the electronic medical record (EMR). Problem lists may contribute substantially to patient safety and quality of care. Physician documentation of the problem list is often lower than desired. Methods are needed to improve accuracy and completeness of the problem list.
An automated clinical decision support (CDS) intervention was designed utilizing a commercially available EMR with computerized physician order entry (CPOE) and CDS. The system was based on alerts delivered during inpatient medication CPOE that prompted clinicians to add a diagnosis to the problem list. Each alert was studied for a 2-month period after implementation.
Measures included alert validity, alert yield, and accuracy of problem list additions.
At a 450 bed teaching hospital, the number of medication orders which triggered alerts during all 2-month study periods was 1011. For all the alerts, the likelihood of a valid alert (an alert that occurred in patients with one of the predefined diagnoses) was 96+/-1%. The alert yield, defined as occuring when an alert led to addition of a problem to the problem list, was 76+/-2%. Accurate problem list additions, defined as additions of problems when the problem was determined to be present by expert review, was 95+/-1%.
The CDS problem list mechanism was integrated into the process of medication order placement and promoted relatively accurate addition of problems to the EMR problem list.
问题列表是电子病历(EMR)的关键且必需的元素。问题列表可能对患者安全和护理质量有重大贡献。医生记录问题列表的情况往往不如人意。需要方法来提高问题列表的准确性和完整性。
利用具有计算机化医生医嘱录入(CPOE)和临床决策支持(CDS)的商业 EMR,设计了一种自动化临床决策支持(CDS)干预措施。该系统基于住院患者用药 CPOE 期间发出的警报,提示临床医生将诊断添加到问题列表中。在实施后的每个 2 个月期间对每个警报进行研究。
测量包括警报的有效性、警报的产量和问题列表添加的准确性。
在一家拥有 450 张床位的教学医院中,在所有 2 个月的研究期间,触发警报的药物医嘱数量为 1011。对于所有警报,有效警报(发生在具有预定义诊断之一的患者中的警报)的可能性为 96+/-1%。警报产量定义为当警报导致问题添加到问题列表中时发生的情况,为 76+/-2%。准确的问题列表添加,定义为当专家审查确定存在问题时添加问题,为 95+/-1%。
CDS 问题列表机制已集成到药物医嘱录入过程中,并促进了相对准确地将问题添加到 EMR 问题列表中。