EHR-based Decision Support for Pediatric Acute Abdominal Pain in Emergency Care
基于 EHR 的紧急护理中小儿急性腹痛决策支持
基本信息
- 批准号:9210113
- 负责人:
- 金额:$ 61.28万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2015
- 资助国家:美国
- 起止时间:2015-03-01 至 2020-02-28
- 项目状态:已结题
- 来源:
- 关键词:Abdominal PainAccident and Emergency departmentAcuteAdolescentAdultAppendectomyAppendicitisCaringChildChild CareChildhoodClinicalClinical Decision Support SystemsCluster randomized trialCohort StudiesCommunitiesComplexDataDerivation procedureDevelopmentDiagnosisDiagnostic ImagingEconomicsElectronic Health RecordEligibility DeterminationEmergency CareEmergency SituationEmergency department visitEmergency medical serviceEmergent careEnsureEtiologyExposure toGoalsHealthHealth Care CostsHealth systemImageIncidenceInterventionInvestmentsIonizing radiationJudgmentLinkMeasuresMethodsModelingMonitorOnline SystemsOperative Surgical ProceduresOutcomeOutpatientsPatientsPerforationPilot ProjectsPredictive ValuePrivate SectorProviderPublic SectorRadiation exposureResearchResourcesRiskRisk AssessmentRisk EstimateSafetySamplingSiteSourceStatistical Data InterpretationSymptomsSystemTechnologyTimeTranslatingTriageUltrasonographyUnited StatesValidationVisitWorkX-Ray Computed Tomographyadolescent patientage groupbasecare deliverycare seekingclinical carecohortcostdesigndiagnostic accuracyevidence baseevidence based guidelinesflexibilityhigh riskimprovedindexinginnovationion sourcepediatric patientspersonalized carepoint of careprospectivepublic health relevanceresponsestandardized caresupport tools
项目摘要
DESCRIPTION (provided by applicant): Abdominal pain is one of the most common reasons for children and adolescents to seek care in the emergency department (ED). Despite the high incidence, diagnosing appendicitis remains challenging. Computed tomography (CT) has been promoted as a method to improve diagnostic accuracy when evaluating patients with acute abdominal pain. In the past 20 years, CT use has increased dramatically, especially for children receiving care in general ED settings. Although in some adult cohorts, increased CT use has been associated with decreased rates of negative appendectomies, similar improvements in health outcomes among children with acute abdominal pain have not occurred. Negative consequences of CT include increased costs and substantial exposure to ionizing radiation. The proposed intervention, referred to as appy-CDS, is specifically designed for widespread use in EDs and could reduce reliance on advanced diagnostic imaging for pediatric and adolescent patients with acute abdominal pain while maintaining or improving clinical outcomes. This project builds on more than 10 years of work on derivation and validation of ED-based clinical decision rules, previous successful outpatient and emergency department clinical decision support interventions, and complex economic and statistical analyses of risk assessment and ED resource use. In this project, we aim to extend the benefits of our previous efforts by developing and implementing an interactive, evidence-based clinical decision support tool to optimize care for children and adolescents presenting to a general or non-pediatric ED with acute abdominal pain. The results of this project will extend our understanding of how to maximize the clinical return on massive public and private sector investments being made in sophisticated EHR systems. If successful, this flexible decision support tool could be adapted and implemented broadly in a range of acute care settings to both standardize and personalize care delivered to pediatric patients.
描述(由申请人提供):腹痛是儿童和青少年在急诊科(ED)寻求护理的最常见原因之一。尽管发病率很高,但诊断阑尾炎仍然具有挑战性。在评估急性腹痛患者时,计算机断层扫描(CT)已被提升为提高诊断准确性的方法。在过去的20年中,CT的使用急剧增加,尤其是对于在一般ED环境中接受护理的儿童。尽管在某些成人队列中,CT使用的增加与阑尾切除术的率降低有关,但急性腹痛儿童的健康结局的类似改善并未发生。 CT的负面后果包括增加成本和大量暴露于电离辐射。拟议的干预措施(称为appy-CD)是专门设计用于在ED中广泛使用的,可以减少对患有急性腹痛患者的高级诊断成像,同时维持或改善临床结果。该项目建立在10年以上的基于ED基于ED的临床决策规则,成功的门诊和急诊室临床决策支持干预措施以及风险评估和ED资源使用的复杂经济和统计分析的工作。在这个项目中,我们旨在通过开发和实施一种互动的,基于证据的临床决策支持工具来扩大我们以前的努力的好处,以优化向急性腹部疼痛的一般或非培养质呈现的儿童和青少年的护理。该项目的结果将扩展我们对如何在复杂的EHR系统中进行大规模公共和私营部门投资的临床回报的理解。如果成功,则可以在一系列急性护理环境中对这种灵活的决策支持工具进行大规模调整和实施,以标准化和个性化提供给儿科患者的护理。
项目成果
期刊论文数量(0)
专著数量(0)
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Anupam B Kharbanda其他文献
Anupam B Kharbanda的其他文献
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{{ truncateString('Anupam B Kharbanda', 18)}}的其他基金
EHR-based Decision Support for Pediatric Acute Abdominal Pain in Emergency Care
基于 EHR 的紧急护理中小儿急性腹痛决策支持
- 批准号:
8818435 - 财政年份:2015
- 资助金额:
$ 61.28万 - 项目类别:
EHR-based Decision Support for Pediatric Acute Abdominal Pain in Emergency Care
基于 EHR 的紧急护理中小儿急性腹痛决策支持
- 批准号:
9015444 - 财政年份:2015
- 资助金额:
$ 61.28万 - 项目类别:
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