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Offer Filters

Smarter, more-targeted organ offers

Now available for

liver and heart

Semi-transparent, dense collection of multi-colored circles
Filtered-group of semi-transparent collection of multi-colored circles
Another layer of filtering for smaller group of semi-transparent collection of multi-colored circles
End result of filtering to reveal best matched results

Offer Filters helps hospitals understand acceptance patterns and refine them — so organs are transplanted faster.

Finding the right organ

Offer Filters analyzes hospitals’ organ acceptance trends and can automatically ‘filter’ out the offers that aren’t a good match.

For the right patient

Filters can be tweaked, activated and created at a program level to ensure doctors are getting the right organs for their patients.


The Offer Filters tool reduces the time between offer and acceptance, bringing lifesaving organs to patients faster.

Here’s how it works

Offer Filters analyzes two years of a program’s accepted organ offers to help get organs to patients who need them.

Read frequently asked questions

Frequently asked questions

The Offer Filters tool gives transplant programs the option to filter out organ offers they don’t intend to accept, based on multiple filters all applied in conjunction with each other.

The goal of the tool is to allow organs to be offered to accepting programs faster.

The tool can provide recommended filters based on a program’s past acceptance trends, and programs can also tweak and make custom filters.

What are the benefits of using Offer Filters?
Offer Filters can ensure that your transplant program only spends time reviewing organ offers that match its general acceptance criteria. This can cut down on unnecessary cold ischemia time for some organs, sending them to accepting programs faster.
Are filters different from acceptance criteria?
Yes, Offer Filters is multi-factorial, whereas acceptance criteria only utilizes one factor at a time.

For example, Offer Filters can bypass offers based on a certain age AND distance not just age OR distance.

Additionally, acceptance criteria are only applied once, with information available at the time of the match. Filters are applied every time an offer is sent out and use the latest available information.

Do Offer Filters replace acceptance criteria?
No. Donor acceptance criteria are applied when the OPO runs a match. If the donor does not meet the candidate’s donor acceptance criteria then the candidates does not appear on the match.

Offer Filters are applied when the OPO is making organ offers. If the donor meets one or more of the program’s offer filters then a bypass code is applied and the center is not notified.

Will the filters impact our transplant metrics?
Yes – in a positive way. If your program is not going to accept an offer, it is better to have that offer be filtered out than have your team review and manually decline. Filtered offers get a bypass applied instead of a decline, and bypasses are not counted in the offer acceptance observed-to-expected ratios.
How will I know what impact filters will have?
The Offer Filters Explorer tool in UNet can show you the impact filters would have on organ offers using historical offer data from your transplant program.
Am I going to miss out on organs for my patients?
Offer Filters is an elective tool that won’t filter out any organ offers until it is turned on by a program.

You can also set candidate exclusion criteria to ensure subsets of your patients (e.g. patients with CPRA>90) still receive offers.

Are other programs using the organs my program filters out?
Transplant programs have a varying range of general acceptance criteria and may choose to accept or decline an organ offer for many reasons. The Offer Filters Explorer tool can show you where the organs your program filters out are being accepted and transplanted. This insight can be used to refine your programs’ own acceptance criteria or filters.
Can I suggest new filter criteria?
Yes! Contact the UNOS Customer Service Desk at [email protected] or 800-978-4334.

Filters can be tweaked, activated and created at a program level to ensure doctors are getting the right organs for their patients. Patients like Sejal Patel.

Sajel Patel, transplant recipient

Sejal Patel is no stranger to waiting. A two-time kidney transplant recipient, Patel has spent nearly four years of her life wondering when her transplant team will call with good news.

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