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.

项目总结/摘要 此DS-I Africa UE 5应用程序涉及卢旺达大学（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 生成计算衍生合成医疗保健数据的公司），四个DS-I参与 非洲方案：1）“卢旺达健康数据科学”U2 R; 2）“计算组学和生物医学” 开普敦大学（UCT）U2 R信息学课程（COBIP）; 3）DS-I法律课程; 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课程 使用MDClone生成的合成医疗保健数据集开发和指导研究项目。的 UE 5计划的目标是：目标1。使用合成医疗保健数据的培训。UR/AIMS/UCT 计划教师将通过参与短期培训（1-2天）， 初级/高级课程。在WUSTL的MDClone亚当斯专家用户的同行指导下， MDClone，他们将获得合成数据使用方面的实践培训。随后将提供培训， MS/PhD/博士后/初级教师培训生在所有3年。使用该软件的竞争对手将得到改善 并优先考虑与其他DS-I非洲U2 R区域技术方案协调的统一和标准化， 第1-3年广泛传播的协调中心。目标2.提供一个指导，动手， 使用合成医疗保健数据的沉浸式，长达一个学期的研究项目经验。MDClone 亚当斯软件和基础计算衍生的“合成”医疗保健数据在WUSTL将作出 供UR/AIMS/UCT学员使用。学员将与教师导师和专家MDClone配对 亚当斯软件用户使用“小型研究项目（SRP）”程序完成一个研究项目 资助与指导团队一起进行合成医疗数据研究。科学出版物预计将从 每一个实习生目标3.评估短期培训和学期研究项目。学员和 教师将评估短期综合医疗保健数据培训计划。评价将用于 随着时间的推移，改进方案。探索性目标。确定传播和长期 卢旺达和DS-I非洲联合体使用合成医疗保健数据的可持续性。过程中 在为期3年的计划中，并与DS-I非洲ODSP/CC协调，我们将定期举办研讨会， 与学术界、政府和非政府组织领导人举行座谈会和会议， 讨论MDClone软件在主要医疗保健组织中的使用机会。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保健数据的阶段。讨论与 卢旺达卫生部、卢旺达生物医学中心、卢旺达国家统计局 （NISR）和国家科学技术理事会（NCST）正在利用 MDClone亚当斯合成医疗保健数据，以应对卢旺达和DS-I非洲联盟的挑战。