用于患者-临床共同决策的肾移植支持系统。

IF 3.5 3区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Yunwei Zhang, Marni Torkel, Samuel Muller, Germaine Wong, Jean Yang
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引用次数: 0

摘要

一个最优的已故捐赠者分配计划需要一个公平、道德和透明的算法,以确保通过最大限度地利用捐赠器官,将已故捐赠者的肾脏有效地分配给最受益的接受者,但同时,确保所有潜在的候选人都有公平的机会和平等地获得这一稀缺资源。为了应对日益增长的需求和供体器官的有限供应,全球一致努力在合适的受体中增加使用不太理想的供体肾脏。在这个复杂的分配过程中,器官接受决策是最后一步。移植肾病学家通常是这一过程的看门人,并就器官是否适合预期患者做出最终决定。然而,有大量证据表明共同决策的价值,在接受分配的器官之前,让患者、护理人员和他们的初级肾病专家参与,确保医疗保健决策与患者的价值观和他们的偏好保持一致。为了应对这一挑战,我们开发了一种基于可视化指导的模拟工具,以协助共同决策。我们已经证明,器官接受所需的三维临床信息可以使用直观和用户友好的界面来表示。通过利用我们发布的分配模拟过程simKAP,这个被称为肾移植支持系统的决策支持系统有能力预测等待名单上的候选人提供的潜在肾脏序列,并提供估计的等待时间、供体质量和每次连续提供的预期移植后患者存活率。该工具的实施可以为共同决策提供信息,并减少器官丢弃。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Kidney Transplant Support System for Patient-Clinician Shared Decision-Making.

An optimal deceased donor allocation program requires a fair, ethical, and transparent algorithm to ensure efficient and effective allocation of deceased donor kidneys to recipients that will benefit most, by maximizing utility of the donor organs, but at the same time, ensuring all potential candidates have equitable access and equal opportunity to this scarce resource. In response to the increasing demand and the limited availability of donor organs, there has been a global concerted effort to increase the use of less optimal donor kidneys in suitable recipients. During this complex allocation process, organ acceptance decision-making is the final step. Transplant nephrologists are typically the gatekeeper of this process and make the ultimate decision regarding organ suitability for the intended patients. However, with considerable evidence suggesting the value of shared decision making, engaging patients, caregivers and their primary nephrologists prior to accepting the allocated organ, ensures the healthcare decisions align with the patients' values and their preferences. To tackle this challenge, we developed a visualisation guided simulation-based tool to assist shared decision-making. We have shown that the three-dimensional clinical information required for organ acceptance can be represented using an intuitive and user-friendly interface. By utilizing our published allocation simulation process, simKAP, this decision support system called Kidney Transplant Support System has the capacity to forecast a sequence of potential kidneys offered to a candidate on the waiting list, with the provision of estimated waiting time, donor quality and the expected post-transplant patient survivals for each consecutive offer. Implementation of this tool may inform shared decision-making and reduce organ discards.

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来源期刊
Journal of Medical Systems
Journal of Medical Systems 医学-卫生保健
CiteScore
11.60
自引率
1.90%
发文量
83
审稿时长
4.8 months
期刊介绍: Journal of Medical Systems provides a forum for the presentation and discussion of the increasingly extensive applications of new systems techniques and methods in hospital clinic and physician''s office administration; pathology radiology and pharmaceutical delivery systems; medical records storage and retrieval; and ancillary patient-support systems. The journal publishes informative articles essays and studies across the entire scale of medical systems from large hospital programs to novel small-scale medical services. Education is an integral part of this amalgamation of sciences and selected articles are published in this area. Since existing medical systems are constantly being modified to fit particular circumstances and to solve specific problems the journal includes a special section devoted to status reports on current installations.
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