ARTERY Outcomes: tAilored dRug Titration through artificial intElligence: an inteRventional studY
ARTERY Outcomes: tAilored dRug Titration through artificial intElligence: an inteRventional studY
批准号:
10001603
负责人:
Gabriela Voskerician
金额:
$65.48万
依托单位国家:
美国
项目类别:
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-09-01 至 2021-07-31
关键词:
AddressAdverse eventAgeAlgorithmsArtificial IntelligenceBlood PressureCaringClinicalClinical TrialsConfidential InformationDataData AnalysesDiagnosisEffectivenessElectronic Health RecordEmergency department visitEnsureEpidemicEthnic OriginGenderGenerationsGoalsHealthHeart failureHospital CostsHospitalizationHybridsHypersensitivityHypertensionInformation SystemsIntervention StudiesLearningLife StyleMaintenanceMeasuresMedical centerMindModelingModificationMyocardial InfarctionNatureOutcomePatientsPharmaceutical PreparationsPharmacological TreatmentPhasePhysiciansPositioning AttributeProceduresProcessRandomizedRandomized Clinical TrialsRecommendationReportingSafetySan FranciscoSecureService delivery modelStrokeSystemTimeTitrationsTreatment Efficacyadverse event riskarmbaseblood pressure reductionblood pressure regulationcardiovascular risk factorcare coordinationcommercial applicationcomorbiditycostdata acquisitiondata warehousefollow-uphealth care deliveryhypertension controlhypertension treatmentimprovedinnovationinteroperabilitymedication complianceprimary endpointprimary outcomerandomized trialresponsesecondary outcomeside effectstandard of carestroke incidencetreatment armtreatment choicetreatment optimizationweb services
中文摘要
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英文摘要
Need: Nearly half (34 million) of all hypertension (HTN) patients have their blood pressure (BP)
uncontrolled. Despite medication and life-style management, the cost of HTN-associated hospitalizations is
$113 billion, or 15% of all hospital costs. HTN is the leading cause for stroke, heart failure (HF) and myocardial
infarction (MI) hospitalizations. Clinical trials have shown that active pharmacological treatment management
of HTN to BP goal reduces the incidence of stroke by 35-40%, MI by 15-25%, and HF by up to 64%.
Solution: In response to the national “epidemic” of uncontrolled HTN, Optima Integrated Health has
developed optima4BP. optima4BP is an artificial intelligence (AI) that transforms the episodic and reactive
nature of uncontrolled BP pharmacological treatment management into a process that is continuous, proactive,
and personalized. The innovation was developed with the physician in mind by simulating the in-office clinical
reasoning treatment decision process. optima4BP is a physician decision support aid that safely and when
needed optimizes the pharmacological treatment for HTN. optima4BP is interoperable in real-time with the
EpicÒ Electronic Health Record (EHR), constantly evaluating the efficacy of patients’ current treatment and the
requirement for optimization. When a treatment optimization is needed, optima4BP communicates directly with
the treating physician by providing a recommendation in the EHR In-Basket that can be accepted or declined.
Goal of Direct to Phase II: ARTERY Outcomes [tailored drug titration through artificial intelligence: an
interventional study] is a 12 months follow-up, randomized clinical trial (n=300) that: Evaluates optima4BP’s
safety and efficacy in improving HTN control [Aim 1], and Ensures Data Systems Maintenance [Aim 2].
Aim 1. Evaluate optima4BP’s safety and efficacy in improving HTN control. We propose to conduct a
randomized clinical trial (ARTERY Outcomes) at UC San Francisco Medical Center (UCSF MC). We will
investigate the safety and efficacy of optima4BP in improving BP control compared to standard of care (SoC).
The primary end-point will examine the reduction in systolic BP (SBP) between in-office start and end of
study. Milestone: optima4BP reduces SBP by >6 mmHg than SoC. The safety of using optima4BP will
be investigated as a secondary outcome in the context of reported adverse events (AEs).
Aim 2. Ensure data systems maintenance (DSM). DSM is a critical activity that includes optimization,
error correction, deletion of discarded features and enhancement of existing features. UCSF MC and Optima
IT teams will address (1) Data Acquisition upgrades and patches of any system/component within the data
flow; and (2) Surveillance management that addresses systems errors, and performs audits/upgrades on the
data repository [data warehouse]. Milestone: Ensure the validity of the collected-processed-analyzed data.
Commercial Application: With a growing need for value-based care, optima4BP is strongly positioned to
support this specific care coordination model.
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会议论文
PERSEVERE-PEF: optimizing medical therapy saves lives in heart failure with preserved ejection fraction
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批准号:10641684
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项目类别:
-
资助金额:$124.64万
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财政年份:2022
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负责人:Gabriela Voskerician
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依托单位:
PERSEVERE-PEF: optimizing medical therapy saves lives in heart failure with preserved ejection fraction
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批准号:10381898
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项目类别:
-
资助金额:$103.49万
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财政年份:2022
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负责人:Gabriela Voskerician
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依托单位:
optima4heart: pharmacological intervention and transition of care in cardiovascular disease management
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批准号:9770702
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项目类别:
-
资助金额:$22.49万
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财政年份:2019
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负责人:Gabriela Voskerician
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依托单位:
PROTECT: optima4BP 2.0: prediction of Optimal Treatment and Route to achieve and maintain BP Target
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批准号:10159301
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项目类别:
-
资助金额:$71.6万
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财政年份:2018
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负责人:Gabriela Voskerician
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依托单位:
PROTECT: optima4BP 2.0: prediction of Optimal Treatment and Route to achieve and maintain BP Target
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批准号:9901106
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项目类别:
-
资助金额:$75.02万
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财政年份:2018
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负责人:Gabriela Voskerician
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依托单位:
Tailored Drug Titration through Artificial Intelligence
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批准号:9341533
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项目类别:
-
资助金额:$84.9万
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财政年份:2017
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负责人:Gabriela Voskerician
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依托单位:
Personal Mobile Diabetes Management System(PMDMS): IN-TRACK
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批准号:8311248
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项目类别:
-
资助金额:$24.42万
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财政年份:2012
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负责人:Gabriela Voskerician
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依托单位:
海外基金