SYNthetic Healthcare DAta Platform for Data SciEnce Training ("SYNAPSE")

用于数据科学培训的综合医疗保健数据平台（“SYNAPSE”）

• 批准号: 10717478
• 负责人: Victor G. Davila-Roman
• 金额: $ 20万
• 依托单位: NATIONAL UNIVERSITY OF RWANDA
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-20 至 2026-07-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10717478
• 关键词: Address; Africa; African; Competence; Complement; Computer software; Data; Data Science; Data Set; Doctor of Philosophy; Educational Activities; Educational Curriculum; Educational workshop; Evaluation; Faculty; Funding; Goals; Health; Health Sciences; Healthcare; Individual; Laws; Life; Mentors; Methods; Nongovernmental Organizations; Play; Postdoctoral Fellow; Program Research Project Grants; Property; Public Health; Publications; Research; Research Project Grants; Research Training; Role; Running; Rwanda; Science; Security; Services; South Africa; Standardization; Synapses; Teacher Professional Development; Technology; Time; Trainers Training; Training; Training Programs; United States National Institutes of Health; Universities; Washington; biomedical informatics; education research; experience; faculty mentor; hands on research; health care service organization; improved; innovation; large datasets; mathematical sciences; meetings; member; multidisciplinary; open data; peer coaching; population health; preservation; programs; response; skill acquisition; statistics; symposium; tool; training opportunity

PROJECT SUMMARY/ABSTRACT This DS-I Africa UE5 application involves a partnership between University of Rwanda (UR), African Institute for Mathematical Sciences (AIMS), Washington University in St. Louis (WUSTL), and MDClone (software company that generates computationally-derived synthetic healthcare data), with participation from four DS-I Africa programs: 1) “Data Science for Health in Rwanda” U2R; 2) “Computational Omics and Biomedical Informatics Program (COBIP)” U2R, Univ Cape Town (UCT); 3) DS-I Law program; 4) Open Data Science Platform (ODSP) and Coordinating Center (CC). The overarching goal is to provide courses for skills development and mentored research projects using synthetic healthcare data sets generated by MDClone. The UE5 program objectives are: Objective 1. Training in the use of synthetic healthcare data. UR/AIMS/UCT program faculty will be trained in the use of the MDClone software through participation in short (1-2 day) beginner/advanced courses. Under peer mentoring from current MDClone ADAMS expert users at WUSTL and MDClone, they will gain hands-on training in the use of synthetic data. Subsequently training will be available to MS/PhD/postdoctoral/junior faculty trainees during all 3 years. Competencies using the software will be refined and prioritized with harmonization and standardization coordinated with other DS-I Africa U2R RTPs and Coordinating Center for wide dissemination during years 1-3. Objective 2. Deliver a mentored, hands-on, immersive, semester-long research project experience using synthetic healthcare data. The MDClone ADAMS software and underlying computationally-derived “synthetic” healthcare data at WUSTL will be made available for trainee use at UR/AIMS/UCT. Trainees will be paired with a faculty mentor and an expert MDClone ADAMS software user to complete a research project using the “Small Research Projects (SRP)” program funding for synthetic healthcare data research with a mentoring team. A scientific publication is expected from each trainee. Objective 3. Evaluate short-term training and semester-long research project. Trainees and faculty will evaluate the short-term synthetic healthcare data training program. Evaluations will be used to improve the program over time. Exploratory Objective. Determine dissemination and long-term sustainability for Rwanda and DS-I Africa consortium use of synthetic healthcare data. Over the course of the 3-year program and in coordination with the DS-I Africa ODSP/CC, we will conduct regular workshops, symposia and meetings with academic, governmental and non-governmental organization (NGS) leaders to discuss opportunities for MDClone software use at major healthcare organizations. These conversations will set the stage for widespread use of synthetic healthcare data in Rwanda and across DS-I Africa. Discussions with Rwandan Ministry of Health, Rwanda Biomedical Center, National Institute of Statistics of Rwanda (NISR), and National Council for Science and Technology (NCST) are ongoing to harness the power of MDClone ADAMS synthetic healthcare data to address challenges in Rwanda and the DS-I Africa Consortium.

项目概要/摘要 DS-I Africa UE5 应用程序涉及卢旺达大学 (UR)、非洲研究所之间的合作伙伴关系 数学科学 (AIMS)、圣路易斯华盛顿大学 (WUSTL) 和 MDClone（软件 生成计算得出的合成医疗数据的公司），四家 DS-I 参与 非洲项目： 1) “卢旺达健康数据科学”U2R； 2）“计算组学和生物医学 信息学项目 (COBIP)”U2R，开普敦大学 (UCT)；3) DS-I 法律项目；4) 开放数据科学 平台（ODSP）和协调中心（CC）。总体目标是提供技能课程 使用 MDClone 生成的合成医疗保健数据集进行开发和指导研究项目。这 UE5 计划目标是： 目标 1. 综合医疗数据使用培训。 UR/目标/UCT 项目教员将通过短期（1-2 天）参与接受 MDClone 软件使用培训 初级/高级课程。在 WUSTL 和当前 MDClone ADAMS 专家用户的同行指导下 MDClone，他们将获得使用合成数据的实践培训。随后将提供培训 硕士/博士/博士后/初级教师培训生，为期三年。使用该软件的能力将得到完善 并优先考虑与其他 DS-I 非洲 U2R RTP 协调的协调和标准化 协调中心在第一年至第三年进行广泛传播。目标 2. 提供有指导的、实践性的、 使用合成医疗数据的沉浸式、长达一个学期的研究项目体验。 MD克隆 将在 WUSTL 制作 ADAMS 软件和底层计算得出的“合成”医疗保健数据 可供 UR/AIMS/UCT 的学员使用。学员将与一位导师和一位 MDClone 专家配对 ADAMS 软件用户使用“小型研究项目 (SRP)”计划完成研究项目 为指导团队的综合医疗数据研究提供资金。预计将有一份科学出版物 每个练习生。目标 3. 评估短期培训和为期一个学期的研究项目。实习生和 教师将评估短期综合医疗数据培训计划。评估将用于 随着时间的推移改进计划。探索性目标。确定传播和长期 卢旺达和 DS-I Africa 联盟使用合成医疗数据的可持续性。在课程中 3 年计划的一部分，并与 DS-I Africa ODSP/CC 协调，我们将定期举办研讨会， 与学术界、政府和非政府组织 (NGS) 领导人举行研讨会和会议， 讨论 MDClone 软件在主要医疗机构中使用的机会。这些对话将设定 卢旺达和整个 DS-I Africa 广泛使用合成医疗数据的阶段。讨论与 卢旺达卫生部、卢​​旺达生物医学中心、卢旺达国家统计研究所 （NISR）和国家科学技术委员会（NCST）正在不断利用 MDClone ADAMS 合成医疗保健数据，以应对卢旺达和 DS-I 非洲联盟面临的挑战。