An evaluation of sensor technology to monitor and report compliance with an evidence-based intervention to prevent ventilator-associated pneumonia
An evaluation of sensor technology to monitor and report compliance with an evidence-based intervention to prevent ventilator-associated pneumonia
批准号:
8967301
负责人:
Nishi Rawat
金额:
$15.91万
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
项目状态:
已结题
起止时间:
2015-08-01 至 2019-11-30
关键词:
AdherenceAdverse eventAdvisory CommitteesAmericanAnesthesiologyBig DataCaringChargeChildhoodClinicalCritical CareDataData CollectionEmergency MedicineEnvironmentEquilibriumEthicsEvaluationEventEvidence based interventionFeedbackFellowshipFocus GroupsFrustrationFundingGoalsHealthcareHealthcare SystemsHospitalizationHospitalsHuman EngineeringInfection preventionInformation TechnologyInterventionLearningLinkLiteratureMachine LearningManualsMeasurableMeasurementMeasuresMedicineMentorsMethodologyModelingMonitorMotionMovementNosocomial InfectionsNursesOutcomePatient CarePatientsPerformancePhysician AssistantsPreventionPrevention MeasuresPreventive InterventionProcessProcess MeasureProviderQualifyingQuality of CareReportingResearchResearch ActivityResearch PersonnelResourcesScienceState HospitalsTechniquesTechnologyTimeUnited States Agency for Healthcare Research and QualityUnited States Dept. of Health and Human ServicesUnited States National Institutes of HealthWorkbasecare deliverycareer developmentcostdesignhealth care qualityimprovedinnovationmulti-component interventionnovelpatient safetypreferencepressurepreventprofessorpublic health relevanceresearch and developmentresponsesensortoolventilator-associated pneumoniawasting
中文摘要
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英文摘要
DESCRIPTION (provided by applicant): The candidate, Nishi Rawat, is a Critical Care physician and Assistant Professor in the Department of Anesthesiology and Critical Care Medicine at Johns Hopkins. Her goal is to become an independent investigator focused on advancing the field of quality improvement to improve the quality of health care delivered to Americans, while simultaneously reducing costs, with an emphasis on the application of information technology to evaluate performance, minimize waste and eliminate redundancies. The candidate's preliminary work as a co-investigator for two collaboratives to reduce ventilator-associated pneumonia (VAP) suggests that there is a strong drive to eliminate preventable harms such as VAP, but weak available methodologies and resources to do so. There is a dire need for an effective and inexpensive methodology to track the delivery of evidence-based interventions for the purpose of quality improvement. The proposed research intends to fill this measurement gap. In this proposal, she evaluates the utility of the sensor approach for measuring and improving quality of care, focusing on VAP prevention intervention performance. The aims propose: evaluate the utility of the sensor approach for measuring compliance with a VAP prevention intervention by comparing VAP process measure performance estimates captured by sensor technology to estimates obtained by traditional manual data collection (Aim 1); design and pilot a strategy to provide real-time feedback of sensor process measure compliance to providers (Aim 2); evaluate the impact of the sensor approach on VAP process measure compliance by comparing compliance before and after the implementation of the real-time feedback strategy (Aim 3). The proposed work could fundamentally change how healthcare monitors and reports important care interventions, and has the potential to make quality improvement more efficient, inexpensive and scalable. The candidate is uniquely qualified to undertake the proposed work. She is double-board certified in Critical Care and Emergency Medicine, and has completed a Patient Safety and Quality fellowship. She has led multiple local quality improvement initiatives, and worked to decrease ICU costs as part of a national task force, and is currently co-investigator of large national infection prevention collaborative. It isher determination, enthusiasm and strong work ethic which have enabled her to balance these research activities with a heavy clinical commitment. She now needs protected time for research and career development to become an independent investigator.
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会议论文
iCorps PA-16-414 Application related to Fast-Track Small Business Innovation Research Grant Application, PA-15-269: OpenBeds: Improving the Delivery of Care for Patients with Drug Addiction
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批准号:9379425
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项目类别:
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资助金额:$5.0万
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财政年份:2017
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负责人:Nishi Rawat
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依托单位:
An evaluation of sensor technology to monitor and report compliance with an evidence-based intervention to prevent ventilator-associated pneumonia
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批准号:9115682
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项目类别:
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资助金额:$19.83万
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财政年份:2015
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负责人:Nishi Rawat
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依托单位:
海外基金