Fast-Track Multimodal monitoring for neonatal neurocritical care
新生儿神经重症监护的快速多模式监测
基本信息
- 批准号:10601201
- 负责人:
- 金额:$ 26.04万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2023
- 资助国家:美国
- 起止时间:2023-05-11 至 2024-04-30
- 项目状态:已结题
- 来源:
- 关键词:AdherenceAdmission activityBirthBlood PressureBrain InjuriesCaringCerebrumClinicalClinical Practice GuidelineClinical ResearchCommunicationComplexContinuity of Patient CareDataData AnalysesData CollectionData DisplayDatabasesDevicesElectronicsEnvironmentEquipmentEventEvolutionFeedbackFunctional disorderFutureGenerationsGoalsGrantHealthHealth StatusHospital Information SystemsHypoxic-Ischemic Brain InjuryIndividualInterventionLife Support CareMarketingMeasuresMedical DeviceModelingModificationMonitorMorbidity - disease rateNeonatalNeonatal Intensive Care UnitsNewborn InfantOrganOxygenOxygen saturation measurementPatient CarePatient MonitoringPatientsPatternPhasePhysiologicalPopulationPredictive ValueProcessProtocols documentationPublicationsQuality of CareSeveritiesStreamSurveysSystemTechniquesTechnologyTimeTrainingTreatment EffectivenessVisualizationcare providersclinical decision supportdata integrationdesigneffectiveness evaluationexperienceimprovedimproved outcomeinformation displaymanufacturemultimodalitynatural hypothermianeonatal hypoxic-ischemic brain injuryneonatal patientneonateneurodevelopmentneuroprotectionnext generationnovelpatient safetypersonalized approachpreventprototyperemote monitoringsensorstandard of caresuccesssupport toolstooltrendtrend analysisusabilitywireless
项目摘要
PROJECT SUMMARY
In the US, approximately 1.5M babies are admitted to the Neonatal Intensive Care Unit (NICU) each
year. Continuous monitoring of these patients is essential and the ability to quickly identify critical changes in a
patients' health status is crucial to guiding daily care and therapy. While individual medical devices are helpful
in this endeavor, integrating information from multiple devices onto one display and performing real-time
analytics on this data enhances identification of the reasons for a change in patient condition and not just that a
condition has changed. Continuously recording and providing both trending and real-time analysis for real
changes in patient status can help optimize care decisions thus improving outcomes in this fragile population.
In this grant we will build upon the success of the previously cleared Vital Sync multi-modal monitor that
captures and analyzes information from over 100 devices in the NICU to help make the information actionable.
The new device provides a continuous and retrospective view of patient condition so that care providers can
objectively evaluate the effectiveness of treatment modifications. Real time assistance with identification of
changes in patient condition helps to optimize new neuroprotective protocols. Improved review of prior patient
condition through trending analysis and event marking assists with continuity of care across shift changes. The
Phase I prototype is designed to evaluate the feasibility and usability of the tool in the NICU environment. The
phase 2 system will support additional features including reduced connectivity burden and protocol support.
Centraview 2.0 will be a platform for future modular upgrades that will enhance clinical decision support (CDS)
in any ICU environment.
Phase 1 Aim 1 – Create a prototype multimodal monitor for neonatal neurocritical care
Based on existing experience and technology, we will design and prototype a new generation bedside monitoring
system for collecting and displaying data from the key NICU medical devices at UFHealth.
Phase 1 Aim 2 – Evaluate usability of the new system in a simulated NICU
In a simulated NICU environment, we will create three neonatal patient scenarios and evaluate the system in a
usability study with 8 NICU clinicians including surveys to determine perceived value, usability, and acceptance.
Phase 2 Aim 1 – Expand connectivity, add protocol adherence, and enhance usability
Clinical feedback from a successful Phase 1 will be used to improve the functionality and usability of CentraView
2. HIE protocol support will be added to the system along with several other new features including derived
parameters and wireless data collection.
Phase 2 – Aim 2 – Evaluate the effectiveness of CentraView 2 Clinical Assistant
We will first collect baseline data for 6 months at UFHealth to measure adherence with several clinical practice
guidelines (CPG). Next, we will install and train clinicians on the use of the CentraView system and determine if
the system improves compliance with the CPGs.
项目摘要
在美国,每年大约有150万婴儿进入新生儿重症监护室(NICU)。
年对这些患者的持续监测是必不可少的,并且能够快速识别
病人的健康状况对指导日常护理和治疗至关重要。虽然个别医疗设备是有帮助的,
在这项奋进中,将来自多个设备的信息集成到一个显示器上,
对这些数据的分析增强了对患者状况变化原因的识别,而不仅仅是对患者状况变化原因的识别。
情况变了。持续记录并提供趋势和实时分析,以实现真实的
患者状况的变化有助于优化护理决策,从而改善这一脆弱人群的结果。
在这笔赠款中,我们将建立在先前批准的Vital Sync多模式监护仪的成功基础上,
捕获和分析来自NICU中100多台设备的信息,以帮助使信息具有可操作性。
新设备提供了一个连续和回顾性的病人状况,使护理人员可以
客观评价治疗措施的有效性。真实的时间协助识别
患者状况的变化有助于优化新的神经保护方案。改善既往患者的审查
通过趋势分析和事件标记来监测病情,有助于在轮班期间保持护理的连续性。的
第一阶段的原型设计,以评估该工具在新生儿重症监护病房环境中的可行性和可用性。的
第2阶段系统将支持附加特征,包括减少的连接负担和协议支持。
Centraview 2.0将是未来模块化升级的平台,将增强临床决策支持(CDS)
任何ICU环境中。
第1阶段目标1 -创建用于新生儿神经重症监护的原型多模式监护仪
基于现有的经验和技术,我们将设计和原型新一代床旁监护
该系统用于收集和显示来自UFHealth关键NICU医疗设备的数据。
第1阶段目标2 -评价新系统在模拟NICU中的可用性
在模拟的NICU环境中,我们将创建三个新生儿患者场景,并在
8名NICU临床医生的可用性研究,包括确定感知价值、可用性和接受度的调查。
第2阶段目标1 -扩展连接性、增加协议依从性并增强可用性
成功的第1阶段临床反馈将用于改进CentraView的功能和可用性
2. HIE协议支持将与其他几个新功能一起沿着添加到系统中,包括派生的
参数和无线数据采集。
第2阶段-目标2 -评价CentraView 2临床助手的有效性
我们将首先在UFHealth收集6个月的基线数据,以衡量几种临床实践的依从性
(CPG)。接下来,我们将安装并培训临床医生使用CentraView系统,并确定是否
该系统改善了对中央政策的遵守。
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)
专利数量(0)
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Tony Chris Carnes其他文献
Tony Chris Carnes的其他文献
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{{ truncateString('Tony Chris Carnes', 18)}}的其他基金
Ensuring medication ingestion without altering existing medication regimen
确保药物摄入而不改变现有的药物治疗方案
- 批准号:
10384824 - 财政年份:2022
- 资助金额:
$ 26.04万 - 项目类别:
ID-Cap System: Next generation ingestible sensors for medication adherence measurement
ID-Cap 系统:用于药物依从性测量的下一代可摄入传感器
- 批准号:
10475453 - 财政年份:2022
- 资助金额:
$ 26.04万 - 项目类别: