SC Biomedical Informatics & Data Science For Health Equity Research Training (SC BIDS4HEALTH)
SC Biomedical Informatics & Data Science For Health Equity Research Training (SC BIDS4HEALTH)
批准号:
10406056
负责人:
Alexander V Alekseyenko
金额:
$11.63万
依托单位国家:
美国
项目类别:
财政年份:
2022
资助国家:
美国
项目状态:
未结题
起止时间:
2022-07-01 至 2027-06-30
关键词:
AddressAffectCaringChronic CareChronic DiseaseCommunitiesData ScienceData ScientistDevelopmentDoctor of PhilosophyEducational CurriculumEducational process of instructingEngineeringFacultyFoundationsHealthHealth systemHealthcareHistorically Black Colleges and UniversitiesImmersionImprove AccessIndividualInformaticsInternationalJointsLengthMeasurableMedicalModelingOutcomes ResearchPathway interactionsPatientsPublic HealthPublic Health InformaticsResearchResearch TrainingResourcesRiskRuralRural PopulationServicesSouth CarolinaStudentsTrainingTraining ProgramsUnderserved PopulationUniversitiesbasebiomedical data sciencebiomedical informaticscareercomputer sciencecritical access hospitaldidactic educationeHealthexperiencehealth care qualityhealth disparityhealth equityimprovedinformatics toolinnovationinteroperabilitymedically underservednovelpopulation healthpost-doctoral trainingpre-doctoralprogramstelehealth
中文摘要
摘要
南卡罗来纳州生物医学数据科学和信息学促进健康公平研究(SC BIDS4HEALTH)
培训计划旨在培训信息学家和数据科学家,通过参与解决健康差距问题
与当地社区合作,使用远程保健服务和信息学工具,通过互操作性改善获取机会
通过改善保健质量(特别是在农村和危重地区)加强卫生信息交流
通过以健康差距为重点的新颖的电子保健创新。考虑到慢性疾病
作为南卡罗来纳州健康差距的根源,我们课程的开发是基于
瓦格纳慢性病护理模式通过信息学解决医疗保健相关差距,使慢性病
为有差异的人提供更多和更有效的护理。这一模式为增进健康提供了一个框架
为那些面临差异风险的人提供系统,使用信息学和数据科学驱动的方法来改善
通过更有效、以患者为中心的医疗保健,使高危人群受益。SC BIDS4HEALTH构建在
现有克莱姆森大学-南卡罗来纳医科大学生物医学数据科学博士项目
和信息学,涉及到国内和国际公认的生物医学领导者的教职员工
信息学、公共卫生、计算机科学和工程,以及多个生物医学和健康领域。我们
利用许多现有资源和合作伙伴关系来支持既提供最先进的课程
培训,并对南卡罗来纳州的社区产生了显著影响,特别是那些在医学上
服务不足。通过这些相同的合作伙伴关系,我们从当地历史上创造了进入我们项目的途径
黑人学院和大学。我们假设SC BIDS4HEALTH的系统培训是通过以下方式实现的
(目标1)在生物医学信息学、数据科学、
和人口健康,以实现对这些概念如何应用于农村和服务不足的理解
(目标2)开发新的身临其境的实用和
在受影响社区的研究经验,以实现学员的直接互动和可衡量的影响力
研究成果;(目标3)向博士前实习生提供教学经验并促进接触
HBCU学生对生物医学数据科学和信息学研究和职业的兴趣;以及(目标4)开发
新的博士后培养计划。我们还建议(目标5)评估职业和社区影响
SC BIDS4HEALTH培训计划。博士前课程为期2至3年,而
博士后课程为期一年,可续期一年。在满负荷的情况下,该计划将
同时支持克莱姆森和密歇根州立大学的10名博士后和4名博士后学员。
英文摘要
ABSTRACT
The South Carolina Biomedical Data Science and Informatics for Health Equity Research (SC BIDS4HEALTH)
training program seeks to train informaticists and data scientists to address health disparities, via engagement
with local communities, using telehealth services and informatics tools to improve access, through interoperability
and enhanced health information exchange, through improved healthcare quality (particularly in rural and critical
access hospitals) and through novel, health disparities focused e-health innovations. Given that chronic illnesses
underlie health disparities in South Carolina, the development of our curriculum is based on application of the
Wagner model of chronic illness care to address healthcare related disparities through informatics to make chronic
care for those with disparities more available and effective. This model provides a framework to enhance health
systems for those at risk of disparities, using informatics and data science driven approaches to improve health of
at-risk individuals through more effective, patient-centric healthcare. The SC BIDS4HEALTH builds on an
existing joint Clemson University – Medical University of South Carolina PhD program in Biomedical Data Science
and informatics and that involves faculty who are nationally and internationally recognized leaders in biomedical
informatics, public health, computer science and engineering, and multiple biomedical and health domains. We
leverage many existing resources and partnerships to enable curriculum that both provides state-of-the-art
training and makes a notable impact on South Carolina communities, especially those that are medically
underserved. Through these same partnerships, we create pathways into our program from local historically
black colleges and universities. We hypothesize that systematic training in SC BIDS4HEALTH is achieved by
(Aim 1) synthesizing new didactic curricula building on the foundations of Biomedical Informatics, Data Science,
and Population Health to achieve understanding of how these concepts can be applied in rural and underserved
populations, to advance health and alleviate health disparities; (Aim 2) developing new immersive practical and
research experiences in affected communities to allow for direct trainee interactions and measurable impactful
research outcomes; (Aim 3) providing teaching experiences to the pre-doctoral trainees and promote exposure
of HBCU students to biomedical data science and informatics research and careers; and (Aim 4) developing a
new postdoctoral training program. We further propose to (Aim 5) evaluate the careers and community impact
of the SC BIDS4HEALTH training program. The predoctoral program is 2 to 3 years in length, while the length of
the postdoctoral program is 1 year with possibility of renewal for another year. At full capacity, this program will
simultaneously support 10 predoctoral and 4 postdoctoral trainees across Clemson and MUSC.
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会议论文
SC Biomedical Informatics & Data Science For Health Equity Research Training (SC BIDS4HEALTH)
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批准号:10616813
-
项目类别:
-
资助金额:$17.21万
-
财政年份:2022
-
负责人:Alexander V Alekseyenko
-
依托单位:
Distance-based Panomic Analytics for Microbiome Data
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批准号:9903452
-
项目类别:
-
资助金额:$32.71万
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财政年份:2018
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负责人:Alexander V Alekseyenko
-
依托单位:
Increasing Access to Clinical Microbiome Specimens via a Living µbiome Bank
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批准号:9761606
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项目类别:
-
资助金额:$19.67万
-
财政年份:2018
-
负责人:Alexander V Alekseyenko
-
依托单位:
海外基金