A Kidney Transplant Support System for Patient-Clinician Shared Decision-Making

Yunwei Zhang; Marni Torkel; Samuel Muller; Germaine Wong; Jean Yee Hwa Yang

doi:10.1007/s10916-025-02175-2

Back

A Kidney Transplant Support System for Patient-Clinician Shared Decision-Making

Journal article

Open access

Peer reviewed

A Kidney Transplant Support System for Patient-Clinician Shared Decision-Making

Yunwei Zhang, Marni Torkel, Samuel Muller, Germaine Wong and Jean Yee Hwa Yang

Journal of medical systems, Vol.49(1), 60

2025

DOI: https://doi.org/10.1007/s10916-025-02175-2

PMID: 40346426

Files and links (1)

pdf

Published1.00 MBDownload View

CC BY V4.0, Open Access

Abstract

Decision Making, Shared

Decision Support Systems, Clinical - organization & administration

Humans

Kidney Transplantation

Tissue and Organ Procurement - organization & administration

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.

Details

Title: A Kidney Transplant Support System for Patient-Clinician Shared Decision-Making
Authors/Creators: Yunwei Zhang - Macquarie University
Marni Torkel - The University of Sydney
Samuel Muller - The University of Sydney
Germaine Wong - The University of Sydney
Jean Yee Hwa Yang - The University of Sydney
Publication Details: Journal of medical systems, Vol.49(1), 60
Publisher: Springer Nature
Number of pages: 6
Identifiers: 991005779329807891
Murdoch Affiliation: School of Mathematics, Statistics, Chemistry and Physics
Language: English
Resource Type: Journal article

UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

Metrics

3 File views/ downloads

16 Record Views

2 Times Cited - Web of Science

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Collaboration types: Domestic collaboration
Citation topics: 1 Clinical & Life Sciences; 1.157 Organ Donation & Transplantation; 1.157.504 Transplant Immunosuppression
Web Of Science research areas: Health Care Sciences & Services; Medical Informatics
ESI research areas: Clinical Medicine