HealthPop: A geocoding, spatial workflow and contextual data integration platform
HealthPop: A geocoding, spatial workflow and contextual data integration platform
批准号:
9353430
负责人:
J Michael Oakes
金额:
$27.31万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-09-15 至 2020-08-31
关键词:
AddressArchivesBehavioral ResearchBuffersCommunitiesComplexComputer softwareComputerized Medical RecordCustomDataData QualityData SetDatabasesDetectionDocumentationEducation and OutreachEmployment OpportunitiesEnsureExplosionFacultyFundingFutureGeographyGoalsHealthHealth ProfessionalHealth SciencesHealth StatusHealth SurveysHourHumanHuman ResourcesInvestmentsLearningLinkLocationMarriageMeasuresMedical ResearchMetadataMethodsMinnesotaMissionNeighborhoodsOnline SystemsPaperPatientsPeer ReviewPersonsPhysical activityPoliciesPopulationPovertyProceduresProcessPublic HealthPublic Health InformaticsPublishingRecordsResearchResearch InfrastructureResearch PersonnelSeasonsSecureServicesSocial SciencesSocioeconomic StatusSourceSpecialistStandardizationStreet AddressStudentsSurveysSystemTechnologyTexasTimeTrainingUnited States National Institutes of HealthWorkbasecostcost effectivedata accessdata formatdata integrationdata modelingdata resourceexperiencehealth datahealth recordimprovedinnovationmultilevel analysisopen sourceoperationoutreachpopulation healthpublic health relevancepublic health researchracismrepositorysocialtooluser-friendly
中文摘要
英文摘要
DESCRIPTION (provided by applicant): The last 25 years have seen an explosion in research examining contextual effects on human health. This research will continue to grow with the massive expansion of electronic medical records and health informatics. Yet, spatial, multilevel, and contextual health research requires major investment in specialized personnel, software, and data. Projects must employ GIS specialists, purchase complex and expensive proprietary software, develop custom workflows, and identify and harmonize contextual data from a wide variety of sources. HealthPop will democratize access to contextual health research through an end-to-end, free, transparent, integrated, web-based platform that allows new and experienced researchers and practitioners to geocode health and survey data and both construct and access contextual variables. The new infrastructure will maximize access, reduce costs, maximize transparency, minimize redundant effort, improve the quality of contextual data, and make population health science, especially as regards the social and environmental determinants of health, more easily replicable. The project has four main goals: (1) To provide a free, secure web-based platform that allows users to geocode person-level (health) records; (2) To develop web-based workflows for commonly executed spatial operations such as buffering and cluster detection; (3) To create a diverse and scalable contextual health data repository, including integrated, consistent metadata, that may be linked to geocoded health records; and (4) To provide dissemination, outreach, and training to a broad user community, including students, faculty, researchers, and public health professionals. The project will be executed by team of highly-motivated researchers with exceptional experience and proficiency in large-scale data creation, integration, and dissemination and will leverage cutting-edge technology to geocode and contextualize public health data for innovative and policy- relevant analyses.
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