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摘要 南卡罗来纳州生物医学数据科学和信息学健康公平研究(SC BIDS 4 HEALTH) 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 利用远程保健服务和信息工具,通过互操作性, 通过提高医疗质量(特别是在农村和关键地区), 访问医院),并通过新的,健康差距为重点的电子保健创新。鉴于慢性疾病 在南卡罗来纳州的健康差距的基础上,我们的课程的发展是基于应用 慢性病护理的瓦格纳模型,通过信息学解决与医疗保健相关的差异, 为那些有差异的人提供更有效的护理。这一模式提供了一个框架, 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健康状况, 通过更有效的、以患者为中心的医疗保健,帮助高危人群。SC BIDS 4 HEALTH建立在 现有联合克莱姆森大学-南卡罗来纳州医科大学生物医学数据科学博士课程 和信息学,并涉及教师谁是国内和国际公认的领导人在生物医学 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 充分利用现有资源和合作伙伴关系,使课程既提供最先进的 培训并对南卡罗来纳州社区产生显着影响,尤其是那些医疗社区 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计划的途径, 黑人学院和大学我们假设,SC BIDS 4 HEALTH的系统培训是通过以下方式实现的: (Aim 1)在生物医学信息学,数据科学, 和人口健康,以了解如何将这些概念应用于农村和服务不足的地区 人口,以促进健康和减轻健康差距;(目标2)开发新的沉浸式实用和 在受影响社区的研究经验,以允许直接的学员互动和可衡量的影响 研究成果;(目标3)为博士前学员提供教学经验,并促进接触 HBCU学生的生物医学数据科学和信息学研究和职业;和(目标4)开发一个 新的博士后培养计划。我们进一步建议(目标5)评估职业和社区影响 SC BIDS 4 HEALTH培训计划。博士预科课程的长度为2至3年,而 博士后计划为1年,可延长一年。在满负荷运行的情况下,该计划将 同时支持克莱姆森和MUSC的10名博士前和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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SC Biomedical Informatics & Data Science For Health Equity Research Training (SC BIDS4HEALTH)
Distance-based Panomic Analytics for Microbiome Data
Increasing Access to Clinical Microbiome Specimens via a Living µbiome Bank
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