12 things UNOS is doing to get the right organ to the right patient at the right time

Improvement

12 things UNOS is doing to get the right organ to the right patient at the right time

New technology, innovative data tools and collaborative research projects help drive continuous improvement.

Mark Johnson, M.D. and Kenneth Andreoni, M.D. talking

Offer filters project

This project leverages historic organ acceptance data to help transplant hospitals avoid unwanted kidney offers, improving the decision-making process so that organ procurement organizations (OPOs) can find accepting candidates more quickly.

SimUNet words with binary numbers and green circles with checkmarks for organ offer acceptance

SimUNetSM

This powerful simulation platform allows researchers to analyze a variety of factors involved in the organ acceptance process, acting as a testing ground for understanding and improving behaviors. 

Two people reviewing imaging study on monitor

UNetSM Image Sharing

The first national hub for securely sharing high-quality medical imaging studies provides a consistent, secure and seamless imaging application within DonorNet®, facilitating faster, more well-informed organ acceptance decisions.

UNOS Labs over an illustration collage with an eye, charts, lightbulb and a funnel

UNOS LabsSM

UNOS’ virtual research center is where scientists and the community work together to test transformational ideas for improving the transplant system.

Airplanes making a heart-shaped path

Predicting organ travel time

To decrease the nationwide organ discard rate, UNOS researchers are involved in a project that aims to better predict organ travel time.

graph showing deceased donor organs recovered and transplanted

Center Acceptance and Refusal Evaluation

This interactive tool lets transplant hospitals instantly visualize organ offer outcomes for offers they accept, as well as all of those they refuse.

Machine learning models applied to donor admission text may offer additional insights into kidney discards

Natural language processing

UNOS data scientists are researching how natural language processing can help predict organ offer acceptance and refusal behaviors.

Hands holding a smart phone

DonorNet MobileSM

In early 2021, UNOS will release an upgraded DonorNet Mobile to the transplant community that will improve their ability to quickly evaluate and respond to organ offers.

Mendez grant will support research by Darren Stewart, Gaurav Gupta, M.D., and Layla Kamal, M.D.

Understanding the role of biopsies on organ transplant outcomes

UNOS is partnering with university researchers on a study that aims to reduce the national kidney discard rate by clarifying associations between markers and outcomes.

graph showing deceased donor organs recovered and transplanted

Organ Utilization Tool

UNOS is helping OPOs increase local organ recovery rates by providing outcomes data that helps them better understand organ acceptance behaviors.

The transplant community benefits from partnering with UNOS to create registries.

Registry tools

Registries provide analysis and information to the transplant and health care community, improving the quality and safety of care.

Collaborative improvement

Collaborative improvement 

UNOS uses innovative methodologies to help the donation and transplant community share effective practices. The three-year COIIN project focused on increasing the use of high KDPI kidneys.

2020 transplants

32,579

transplants performed this year

Total Transplants January - October 2020 as of 12/03/2020

UNOS collaborates with the organ donation and transplant community to strengthen the system and save lives.

5 arrows pointing up

5 ways to improve the U.S. organ donation and transplant system

Based on the input of experts in our field, UNOS is proposing a five-part package of reforms to drive improvements to save even more lives.

New research and development projects

Partnering with industry experts, UNOS is engaged in three multi-year projects aimed at increasing organ utilization and improving transplant outcomes. The projects focus on simulation modeling, organ tracking and liver paired exchange.

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