Better Outcomes for Children: Promoting Excellence in Healthcare Genomics to Inform Policy
Better Outcomes for Children: Promoting Excellence in Healthcare Genomics to Inform Policy
批准号:
9134798
负责人:
John Barker Harley
金额:
$85.53万
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:
2015-09-01 至 2019-05-31
关键词:
Abdominal Aortic AneurysmAddressAdministratorAdolescentAlgorithmsAppendicitisArchivesAttention deficit hyperactivity disorderAutistic DisorderBostonBudgetsCYP3A5 geneCaregiversCaringChildChildhoodChronic Obstructive Airway DiseaseClinicalCodeCollaborationsCollectionComputer softwareComputerized Medical RecordComputersConsentCost AnalysisCosts and BenefitsDNADNA SequenceDNA Sequence AnalysisDataDecision MakingDiseaseDoseEffectivenessEhlers-Danlos SyndromeElectronic Health RecordElectronicsElementsEthicsEvaluationFamilial HypercholesterolemiaFee-for-Service PlansFibromyalgiaFoundationsFundingGene TargetingGenesGeneticGenetic screening methodGenomic medicineGenomicsGenotypeGoalsHealthHealthcareHealthcare SystemsHuman ResourcesIndividualInformaticsInstitutionInvestmentsKidney TransplantationLearningLegal ObligationsLettersMachine LearningMalignant hyperpyrexia due to anesthesiaMedical RecordsMedical centerMethylphenidateMigraineModificationMosaicismNarcotic AddictionNatural Language ProcessingNeonatal Abstinence SyndromeOutcomeOutcomes ResearchOutpatientsPTEN genePainParentsPatient CarePatientsPediatric HospitalsPharmacogenomicsPhenotypePhysiciansPoliciesPositioning AttributePrimary Ciliary DyskinesiasProcessProductivityPyloric StenosisReadingRecommendationRecordsResearchResearch InfrastructureResearch InstituteResearch PersonnelRunningSamplingScientistSequence AnalysisSeriesSiteTacrolimusTestingTextilesTimeTonsillectomyTranslatingVariantVeteransWorkbasebiobankclinical careclinically actionablecohortdata modelingdesigneconomic impactelectronic dataethical legal social implicationfollow-upgene panelgenetic informationgenetic variantgenome-widegenomic variationhealth care deliveryhealth care qualityheuristicsimprovedinterestlearning strategymembernext generation sequencingpleiotropismpreferenceprimary pulmonary hypertensionprogramsresponsesenior facultyskillssuccesssupport toolstooltool development
中文摘要
描述(由申请人提供):2012年5月,辛辛那提儿童会(CCHMC)与我们的波士顿儿童合作伙伴一起加入Emerge II。从那时起,我们开发了电子健康记录(EHR)的算法,领导了儿科工作组,开发了药物基因组学,评估了父母和照顾者推动基因组医学的偏好,并将技术进步吸收到我们的EHR中。Emerge努力已成为机构倡议的基本结构,以整合遗传学、基因组学和
将电子病历转化为医疗保健。此外,我们还带来了全面的EHR(EPIC),在CCHMC的每个医疗保健提供场所运行;一个包含120万份患者记录的已确定的i2b2数据仓库;以及一个包含150,000份同意的生物库,允许将结果返回给38,000名患者和监护人,他们提供了58,000个DNA样本,所有人都同意返回结果和i2b2 EHR记录。现在,我们提出了加入Emerge III网络的计划,提出了17项倡议。我们的Emerge努力旨在将整个机构与我们的Emerge III合作伙伴一起带入医疗保健实施和发现的基因组电子健康记录时代。我们的工作分为基因组学,AIM 1,我们希望帮助Emerge III指导委员会确定Emerge III靶向基因小组(ETGP)的大约100个基因,选择我们的2,000名CCHMC患者进行测序(我们的生物库中有38,000名患者),审查CCHMC临床护理的4,000个靶向基因小组进行体细胞嵌合和重新解释,并进一步开发和传播用于序列分析的软件工作流套件(CASI)。对于表型,目标2,我们将扩展我们使用启发式和机器学习方法生成eHR表型算法的工作,使用从数据驱动算法派生的全面的eHR特征集来描述eTGP基因变体的表型多效性。我们将通过将Emerge开发的EHR算法应用于这些大型电子数据仓库,与患者护理结果研究所(PCORI)和百万退伍军人计划发展工作合作。对于实施和评估,目标3,我们将开发工具来评估青少年返回结果的偏好,检查重新分析结果的伦理和法律义务和潜力,分析使用和不使用CYP3A5测试的肾移植他克莫司管理的成本,开发表型、测试排序和返回eTGP结果的临床决策支持。我们在这些Emerge III研究中的成功将得到CCHMC生物库、综合EHR(EPIC)和i2b2识别的病历数据仓库的持续机构投资,以及数百名将基因组学或信息学作为其积极研究重点的教职员工和高级工作人员的支持。我们提出了一个全面的计划,解决了Emerge III(HG-14-025)RFP中提出的所有显著要素,以增强我们在Emerge网络中的协作生产力,通过基因组学和信息学的发现、实施和高级应用最终改善我们的医疗保健系统。
英文摘要
DESCRIPTION (provided by applicant): In May 2012 Cincinnati Children's (CCHMC) joined eMERGE II with our Boston Children's partner. Since then we have developed algorithms for the electronic health record (EHR), led the Pediatric Workgroup, developed pharmacogenomics, evaluated the preferences of parents and caregivers to advance genomic medicine and assimilated technical advances into our EHR. The eMERGE effort has become the basic fabric of the institutional initiative to incorporate the extraordinary advances of genetics, genomics and
the electronic medical record into healthcare. In addition, we bring a comprehensive EHR (EPIC), operating in every venue for healthcare delivery at CCHMC; a deidentified i2b2 data warehouse of 1.2 million patient records; and a Biobank with 150,000 consents that allow return of results to 38,000 patients and guardians who have provided 58,000 DNA samples, all with consent to return results and i2b2 EHR records. Now, we present our plan to join the eMERGE III network with 17 proposed initiatives. Our eMERGE effort is designed to move an entire institution with our eMERGE III partners into a genomic-EHR era of healthcare implementation and discovery. Our effort is divided into Genomics , Aim 1, where we hope to help the eMERGE III Steering Committee identify the 100 or so genes for the eMERGE III Targeted Gene Panel (eTGP), select our 2,000 CCHMC patients to be sequenced (of the 38,000 in our Biobank), review 4,000 targeted gene panels from clinical care at CCHMC for somatic mosaicism and reinterpretation, and further develop and disseminate a software workflow suite for sequence analysis (CASSI). For Phenotypes, Aim 2, we will extend our work generating EHR phenotype algorithms using heuristic and machine learning methods with a comprehensive set of EHR features derived from data driven algorithms to describe phenotypic pleiotropy of eTGP gene variants. We will develop working collaborations with Patients Care Outcomes Research Institute (PCORI) and the Million Veterans Program by applying eMERGE developed EHR algorithms to these large electronic data warehouses. For Implementation and Evaluation, Aim 3, we will develop tools to evaluate adolescent return of results preferences, examine the ethical and legal obligations and potential to reanalyze results, analyze the cost of tacrolimus management of kidney transplant with and without CYP3A5 testing, develop clinical decision support for phenotyping, test ordering, and returning eTGP results. Our success in these eMERGE III studies will be enhanced by the ongoing institutional investments made in the CCHMC BioBank, the comprehensive EHR (EPIC), and the i2b2 deidentified medical record data warehouse, and hundreds of Faculty and senior staff who make genomics or informatics an active focus of their research. We present a comprehensive program addressing all of the salient elements presented in the RFP for eMERGE III (HG-14-025) to enhance our collaborative productivity within the eMERGE Network in ways that ultimately improve our healthcare systems through discovery, implementation, and advanced applications of genomics and informatics.
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