THE AI-PSYCHOSOCIAL INTEGRATION FRAMEWORK FOR PREDICTIVE DONOR LIFECYCLE MANAGEMENT
Every 24 hours, 17 Americans die waiting for a kidney. More than 80% of people who say yes to living donation never reach the operating table — not because they're disqualified, but because the system that's supposed to carry them through evaluation was never built to hold on to them. Project Donor-Flow is Cold Ischemia Foundation's eight-stage AI architecture for closing that gap, grounded in peer-reviewed evidence at every stage.
The numbers are not ambiguous. As of March 2024, more than 103,000 patients sat on the national kidney transplant waiting list. Living donor transplantation is the clinical gold standard — and the country is producing fewer of them than it did five years ago.
The intelligence deficit does not fall equally. Race and geography predict access to living donation independent of medical eligibility — and CIF's priority-state analysis names exactly where the crisis concentrates.
Click any stage of the funnel below. Of 100 people who inquire about living donation, only 18 ever complete surgery — and the LDCPR data shows most of that loss has nothing to do with medical disqualification.
Nothing in this framework is speculative. Each number below is a peer-reviewed finding that Project Donor-Flow's architecture directly operationalizes.
From pre-inquiry population identification to post-donation longitudinal monitoring — a specific AI tool, a defined human role, and a published evidence citation at every stage.
The DRS is a weighted composite calculated the moment a donor makes first contact. Move the sliders to see how clinical, psychosocial, financial, and logistical signals combine — and which support track the AI-Concierge would activate. No donor is ever rejected at triage; every score triggers a response.
DMAIC — Define, Measure, Analyze, Improve, Control — is the process-engineering backbone that keeps every AI deployment organized around measurable outcomes rather than technology for its own sake.
Modeled on 250 annual donor inquiries, using LDCPR attrition rates for the current system and Bossini et al. (2023) improvement rates for the AI-enabled pipeline.
Ten leading living-donor awareness programs operate in the U.S. None is building what CIF is building.
The programs that deploy Project Donor-Flow earliest aren't just adopting a better tool — they're building the evidence base that shapes what the national standard becomes.
Deploy the AI-Concierge infrastructure at your program and commit to the National Donor Velocity Benchmark data-sharing framework.
Make donor evaluation operational efficiency — DRS distribution, velocity profile, equity-adjusted conversion — a component of program accountability.
Expand NLDAC eligibility on donor financial status alone, and mandate the follow-up standards KDIGO already calls for.
Seventeen people will die today on the kidney transplant waitlist. AI cannot save all of them. But it can — and based on the published evidence, demonstrably will — save more of them than the current system does.