Organ Procurement and Information Process Optimization

器官获取与信息流程优化

• 批准号: 10042096
• 负责人: DIWAKAR GUPTA
• 金额: $ 4.2万
• 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/10042096
• 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

项目概要：器官获取与信息流程优化 最近白宫一项名为“促进美国肾脏健康”的倡议概述了目前的 政府计划增加美国的肾脏供应，沿着其他措施， 试图纠正肾脏供需之间的不平衡。与此同时， 根据白宫的倡议，该项目的首席研究员（PI）将开发算法， 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将利用收集到的大量数据 通过OPO，定制和开发新的阿尔蒂官方智能（AI）算法，以识别 好捐助者这些算法将减少案件协调员的工作量，提高准确性 他们的决定。PI的目标是量化人工智能辅助决策对 通过寻找因现行手册而错过的机会来增加肾脏供应 流程.即使每个OPO多几个潜在的捐赠者也有助于减少器官短缺问题 全国58家OPO的数据 该项目将利用独特的数据集来生成和测试假设， 哪些信息处理协议产生更大的影响， 捐献者转化率它还将定制分类算法，以协助案件协调， 协调人作出捐赠者处置决定。重点将放在提高准确性和 这样的决定的速度。作为该项目的后续行动，PI将进行更广泛的研究 涉及至少五个额外的OPO。将选择五个OPO代表多样性 在全国58个OPO中的规模，人口和地理位置。这一结果和 后续研究将免费与所有OPO分享。拟议的研究有可能 增加捐赠者数量，节省工作时间，降低OPO劳动力成本。 该项目的潜在影响在于制定和测试假设， 贝内OPO决策和移植等待名单上的人，定制现有机器 学习算法和计算技术的顺序决策在一个新的设置， 并为今后新方法的开发打下基础。 PI具有必要的学科专业知识以及管理和领导经验， 在拟议的工作中取得成功。他可以访问高级计算资源和管理 德克萨斯大学的帮助。最后，他获得了必要的IRB批准， 这个项目。 1