(MEnD-AKI) Multicenter Implementation of an Electronic Decision Support System for Drug-associated AKI
(MEnD-AKI) 药物相关 AKI 电子决策支持系统的多中心实施
基本信息
- 批准号:10209005
- 负责人:
- 金额:$ 56.22万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-06-01 至 2026-03-31
- 项目状态:未结题
- 来源:
- 关键词:AccountingAcute Renal Failure with Renal Papillary NecrosisAddressAdoptedAdultAdverse drug eventCaringCessation of lifeChronicClinicalClinical Decision Support SystemsClinical Practice GuidelineComputerized Medical RecordCost AnalysisCoupledDataDecision Support SystemsDependenceDevelopmentDiagnosticDialysis procedureDoseDrug ModelingsEarly DiagnosisEffectivenessEtiologyEventGoalsGuidelinesHealth systemHospitalistsHospitalsIncidenceInjury to KidneyInterventionKidney DiseasesLaboratoriesLength of StayLightMachine LearningMeasuresMedical centerOperative Surgical ProceduresOutcomePatient CarePatient-Focused OutcomesPatientsPerceptionPerformancePharmaceutical PreparationsPharmacistsPhysiciansPredictive AnalyticsPredictive ValueProviderPublishingRandomizedRandomized Controlled TrialsRecommendationRecoveryReportingResearchResidual stateRiskRisk AssessmentSensitivity and SpecificitySeriesServicesSiteStagingSurveysSystemTestingTherapeutic InterventionTimeUnited StatesUniversitiesUpdateaging populationbasecare providersclinical decision supportclinical riskcomorbiditycontrol trialcostcost effectivenessdesigndetection platformeffectiveness evaluationequipment trainingexperiencegroup interventionhigh riskimaging agentimplementation costimplementation interventionimprovedinnovationmortalitynephrotoxicitynon-drugpost interventionprematurerenal damagerisk prediction modelstandard of care
项目摘要
Abstract
Acute Kidney Injury (AKI) in the US has increased by 38% over the last eight years, with drugs as a major
contributor to AKI in hospitalized patients. Drug-associated AKI (D-AKI) results in severe consequences with
approximately 40% of patients experiencing in-hospital death or dialysis dependence and 70% having
evidence of residual kidney damage following the initial D-AKI event. We have determined that many patients
at high risk for AKI are identified late and often continue to receive nephrotoxic drugs until AKI becomes
severe. Thus, we designed a proposal to address the need for early, appropriate management of nephrotoxins
in high-risk patients by studying the effect of an advanced clinical decision support system (CDSS) for primary
physicians and hospitalists aimed at reducing D-AKI in hospitalized adults. Specifically, we aim to 1) optimize
the clinical performance of D-AKI risk-alerts generated by a clinical decision support system; 2) test whether an
advanced clinical decision support system coupled with a pharmacist-led intervention improves short and long-
term outcomes for patients with D-AKI; and 3) determine physician perception of the pharmacists’
performance, physician acceptance and cost-effectiveness of our intervention.
In 2012 Kidney Disease Improving Global Outcomes (KDIGO) published the first comprehensive AKI clinical
practice guideline. Recommendations include the use of standard criteria for defining and staging AKI and a
series of stage-based management steps to be considered for all patients with AKI or at risk for developing it.
However, clinicians have been slow to adopt these recommendations and some groups (most notably the US
KDOQI expert panel), while endorsing the guideline overall, have called for more research testing the
recommendations. Our proposal directly addresses this concern by testing whether a unique clinical decision
support system identifying high risk patients coupled with an advanced pharmacist service directed to the
primary physician can address D-AKI and drug dosing for other forms of AKI to improve patient care. Thus, our
central goal is to examine the effect of a pharmacist-led intervention on the early detection and management of
AKI, progression of and short-term recovery from AKI, and on various AKI-related outcomes.
摘要
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
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Azra Bihorac其他文献
Azra Bihorac的其他文献
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{{ truncateString('Azra Bihorac', 18)}}的其他基金
Bridge2AI: Patient-Focused Collaborative Hospital Repository Uniting Standards (CHoRUS) for Equitable AI
Bridge2AI:以患者为中心的协作医院存储库统一标准 (CHORUS),实现公平的人工智能
- 批准号:
10858694 - 财政年份:2022
- 资助金额:
$ 56.22万 - 项目类别:
Bridge2AI: Patient-Focused Collaborative Hospital Repository Uniting Standards (CHoRUS) for Equitable AI
Bridge2AI:以患者为中心的协作医院存储库统一标准 (CHORUS),实现公平的人工智能
- 批准号:
10472824 - 财政年份:2022
- 资助金额:
$ 56.22万 - 项目类别:
(MEnD-AKI) Multicenter Implementation of an Electronic Decision Support System for Drug-associated AKI
(MEnD-AKI) 药物相关 AKI 电子决策支持系统的多中心实施
- 批准号:
10414976 - 财政年份:2021
- 资助金额:
$ 56.22万 - 项目类别:
(MEnD-AKI) Multicenter Implementation of an Electronic Decision Support System for Drug-associated AKI
(MEnD-AKI) 药物相关 AKI 电子决策支持系统的多中心实施
- 批准号:
10594086 - 财政年份:2021
- 资助金额:
$ 56.22万 - 项目类别:
ADAPT: Autonomous Delirium Monitoring and Adaptive Prevention
ADAPT:自主谵妄监测和适应性预防
- 批准号:
10396041 - 财政年份:2021
- 资助金额:
$ 56.22万 - 项目类别:
(MEnD-AKI) Multicenter Implementation of an Electronic Decision Support System for Drug-associated AKI
(MEnD-AKI) 药物相关 AKI 电子决策支持系统的多中心实施
- 批准号:
10609525 - 财政年份:2021
- 资助金额:
$ 56.22万 - 项目类别:
ADAPT: Autonomous Delirium Monitoring and Adaptive Prevention
ADAPT:自主谵妄监测和适应性预防
- 批准号:
10178157 - 财政年份:2021
- 资助金额:
$ 56.22万 - 项目类别:
Intelligent Intensive Care Unit (I2CU): Pervasive Sensing and Artificial Intelligence for Augmented Clinical Decision-making
智能重症监护病房 (I2CU):普遍传感和人工智能增强临床决策
- 批准号:
10154047 - 财政年份:2021
- 资助金额:
$ 56.22万 - 项目类别:
Intelligent Intensive Care Unit (I2CU): Pervasive Sensing and Artificial Intelligence for Augmented Clinical Decision-making
智能重症监护病房 (I2CU):普遍传感和人工智能增强临床决策
- 批准号:
10580785 - 财政年份:2021
- 资助金额:
$ 56.22万 - 项目类别:
Intelligent Intensive Care Unit (I2CU): Pervasive Sensing and Artificial Intelligence for Augmented Clinical Decision-making
智能重症监护病房 (I2CU):普遍传感和人工智能增强临床决策
- 批准号:
10374834 - 财政年份:2021
- 资助金额:
$ 56.22万 - 项目类别:














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