Organ Procurement and Information Process Optimization

器官获取与信息流程优化

• 批准号: 10246800
• 负责人: DIWAKAR GUPTA
• 金额: $ 5.8万
• 依托单位: UNIVERSITY OF TEXAS AT AUSTIN
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-01 至 2022-08-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10246800
• 关键词: Organ; Procurement; Information; Process; Optimization

Project Summary: Organ Procurement and Information Process Optimization A recent White House initiative titled Advancing American Kidney Health outlines the current administration's plans to increase the supply of kidneys in the US, along with other measures that attempt to correct the imbalance between supply and demand for kidneys. In alignment with this White House initiative, the principal investigator (PI) of this project will develop algorithms to assist Organ Procurement Organizations (OPOs) make donor disposition decisions with the goal of increasing the supply of transplantable organs. The PI will harness the vast amount of data collected by OPOs, and customize as well as develop new Artificial Intelligence (AI) algorithms to identify good donors. These algorithms will reduce case coordinators workload and improve the accuracy of their decisions. The PI's objective is to quantity the impact of AI-assisted decision-making on increasing the supply of kidneys by finding missed opportunities on account of the current manual processes. Even a few more potential donors per OPO will help reduce the organ shortage problem when scaled to all 58 OPOs across the country. This project will leverage unique data sets to generate and test hypotheses concerning which fac- tors affect donor disposition decisions, and which information processing protocols produce greater referral-to-donor conversion rate. It will also customize classification algorithms to assist case co- ordinators make donor disposition decisions. The focus will be on improving both the accuracy and speed of such decisions. As a follow up of this project, the PI will conduct a broader study involving at least five additional OPOs. The five OPOs will be selected to represent the diversity in size, population, and geography among the 58 OPOs across the country. Results of this and the follow-up study will be shared freely with all OPOs. The proposed research has the potential to increase the number of donors, free up staff time, and lower OPO labor costs. The potential impact of this project lies in the formulation and testing of hypotheses that can benefit OPO decision-making and people on transplant wait list, customization of existing machine learning algorithms and computational techniques for sequential decision-making in a novel setting, and laying the groundwork for the development of new methods in the future. The PI has the necessary disciplinary expertise, and management and leadership experience to succeed in the proposed efforts. He has access to advanced computing resources and administrative help from the University of Texas. Finally, he has obtained the necessary IRB approval to proceed with this project. 1

项目摘要：器官采购和信息流程优化 白宫最近一项名为《推进美国肾脏健康》的倡议概述了目前 政府计划增加美国的肾脏供应，以及其他措施， 努力纠正肾脏供需失衡的局面。与此相一致 白宫倡议，该项目的首席调查员(PI)将开发算法来 协助器官采购组织(OPO)做出捐赠者处置决定，目标是 增加可移植器官的供应。PI将利用收集的大量数据 由OPO提供，并定制和开发新的Artifi社会智能(AI)算法以识别 好的捐赠者。这些算法减少了案例协调者的工作量，提高了准确率 他们的决定。PI的目标是量化人工智能辅助决策对 由于目前的手册，fi和错失的机会增加了肾脏的供应 流程。即使每个OPO多几个潜在的捐赠者，也将有助于缓解器官短缺的问题 当扩大到全国所有58个OPO时。 该项目将利用独特的数据集来生成和测试关于以下哪些方面的假设： Tor affect捐赠者处置决策，以及哪些信息处理协议产生更大的 转诊到捐赠者的转换率。它还将定制Classifi配位算法，以帮助案例协作 协调人作出捐赠者处置的决定。重点将是提高两个方面的准确性 以及这样的决定的速度。作为这一项目的后续行动，国际和平研究所将进行更广泛的研究 至少涉及fi和其他OPO。将选择five OPO来代表多样性 在全国58个OPO的规模、人口和地理位置上。这一结果和 后续研究将免费与所有OPO共享。这项拟议的研究有可能 增加捐赠者的数量，腾出ff的时间，降低OPO的人力成本。 这个项目的潜在影响在于提出和测试假设，这些假设可以 BENEfit OPO决策和移植等待名单上的人员，定制现有机器 在一种新的设置中用于顺序决策的学习算法和计算技术， 为今后新方法的开发奠定了基础。 私隐专员具备必要的纪律专业知识及管理和领导经验，以 在提议的efforts中取得成功。他可以访问高级计算资源和管理 得克萨斯大学的帮助。最后，他已经获得了IRB的批准，可以继续进行 在这个项目上。 1