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

项目摘要/摘要 这项DS-I非洲UE5申请涉及卢旺达大学(UR)、非洲研究所 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)，有四个DS-I参与 非洲计划：1)“数据科学促进卢旺达健康”U2R；2)“计算全基因组和生物医学” 信息学计划(COBIP)“U2R，开普敦大学(UCT)；3)DS-I法律计划；4)开放数据科学 平台(ODSP)和协调中心(CC)。首要目标是提供技能培训课程。 使用MDClone生成的合成医疗数据集开发和指导研究项目。这个 UE5方案的目标是：目标1.使用合成保健数据的培训。UR/AIM/UCT 通过参加短期培训(1-2天)，培训项目教职员工如何使用MDClone软件 初级/高级课程。在WUSTL目前MDClone Adams专家用户的同行指导下， 通过MDClone，他们将获得使用合成数据的实践培训。随后将提供培训，以 硕士/博士/博士后/初级教员实习生，为期3年。使用该软件的能力将得到改进 并优先协调和标准化与其他DS-I非洲U2R RTP和 1-3年广泛传播协调中心。目标2.提供一个有指导的、动手的、 使用合成医疗数据进行为期一学期的身临其境的研究项目体验。MDClone 将在WUSTL制作ADAMS软件和基础计算派生的“合成”医疗数据 可供学员在UR/AIMS/UCT使用。受训者将与一名教师导师和一名MDClone专家配对 ADAMS软件用户使用“小型研究项目(SRP)”程序完成一个研究项目 与指导团队一起为合成医疗数据研究提供资金。科学出版物预计将从 每个实习生。目的3.评估短期培训和为期一学期的研究项目。实习生和 教职员工将评估短期合成医疗数据培训计划。评估将用于 随着时间的推移，改进该计划。探索性目标。确定传播和长期 卢旺达的可持续性和DS-I非洲联盟使用合成医疗保健数据。在整个过程中 在3年期方案的基础上，并与DS-I非洲ODSP/CC协调，我们将定期举办讲习班， 与学术、政府和非政府组织(NGS)领导人举行研讨会和会议，以 讨论在主要医疗保健组织中使用MDClone软件的机会。这些对话将设置 在卢旺达和整个DS-I非洲广泛使用合成医疗数据的舞台。与以下人员讨论 卢旺达卫生部、卢旺达生物医学中心、卢旺达国家统计局 (NISR)和国家科学技术委员会(NCST)正在进行中，以利用 MDClone Adams合成医疗数据，以应对卢旺达和DS-I非洲联盟的挑战。

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.