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Development and Impact of a Computerized Pediatric Antiinfective Decision Support Program

机译:电脑化小儿抗感染决策支持程序的开发和影响

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Objective. Computerized medical decision support tools have been shown to improve the quality of care and have been cited by the Institute of Medicine as one method to reduce pharmaceutical errors. We evaluated the impact of an antiinfective decision support tool in a pediatric intensive care unit (PICU).Methods. We enhanced an existing adult antiinfective management tool by adding and changing medical logic to make it appropriate for pediatric patients. Process and outcomes measures were monitored prospectively during a 6-month control and a 6-month intervention period. Mandatory use of the decision support tool was initiated for all antiinfective orders in a 26-bed PICU during the intervention period. Clinician opinions of the decision support tool were surveyed via questionnaire.Results. The rate of pharmacy interventions for erroneous drug doses declined by 59%. The rate of anti-infective subtherapeutic patient days decreased by 36%, and the rate of excessive-dose days declined by 28%. The number of orders placed per antiinfective course decreased 11.5%, and the robust estimate of the antiinfective costs per patient decreased 9%. The type of anti-infectives ordered and the number of antiinfective doses per patient remained similar, as did the rates of adverse drug events and antibiotic-bacterial susceptibility mismatches. The surveyed clinicians reported that use of the program improved their antiinfective agent choices as well as their awareness of impairments in renal function and reduced the likelihood of adverse drug events.Conclusions. Use of the pediatric antiinfective decision support tool in a PICU was considered beneficial to patient care by the clinicians and reduced the rates of erroneous drug orders, improved therapeutic dosage targets, and was associated with a decreased robust estimate of antiinfective costs per patient. antiinfective agents, decision support systems, drug therapy, medication errors, child, infant.
机译:目的。计算机化的医疗决策支持工具已被证明可以改善护理质量,并被医学研究所称为减少药物错误的一种方法。我们评估了抗感染决策支持工具对小儿重症监护室(PICU)的影响。我们通过添加和更改医学逻辑以使其适合于小儿患者,增强了现有的成人抗感染管理工具。在为期6个月的控制和6个月的干预期间内,对过程和结果指标进行了前瞻性监测。在干预期间,在26张病床的重症监护病房开始强制使用决策支持工具处理所有抗感染药物。通过问卷调查了临床医生对决策支持工具的意见。错误药物剂量的药房干预率下降了59%。抗感染亚治疗患者的天数减少了36%,过量用药的天数减少了28%。每个抗感染疗程的订购数量减少了11.5%,对每位患者抗感染费用的可靠估计降低了9%。所订购的抗感染药的类型和每位患者的抗感染剂量的数量保持相似,药物不良反应和抗生素-细菌敏感性不匹配的发生率也是如此。接受调查的临床医生报告说,使用该程序改善了他们的抗感染药选择,提高了他们对肾功能损害的认识,并减少了药物不良事件的可能性。临床医生认为在PICU中使用儿科抗感染决策支持工具对患者的护理有益,并且降低了错误的药物订购率,提高了治疗剂量目标,并且降低了每位患者抗感染成本的可靠估计。抗感染药,决策支持系统,药物治疗,用药错误,儿童,婴儿。

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