AI & Analytics
The Platform That Puts Real-Time Transplant Data at the Center of Every Decision
Afflo is more than software. It is the connective layer between your clinical workflows, your institution’s models, and the real-time transactional data that no other platform can provide.
Why afflo is different:AI Needs the Right Data. Afflo Has It — In Real Time.
Most AI tools in healthcare are built on static datasets and historical exports. Afflo is different. Because Afflo is the operational core of your transplant program, every clinical event — a new referral, a lab result, an organ offer, an acceptance decision — is captured the moment it happens.
That real-time, end-to-end transactional data is what AI models need to deliver meaningful predictions and insights. Afflo provides the platform to plug in, train, and run those models where they matter most: at the point of clinical decision-making.
Afflo functions as the AI integration layer for transplant. Whether you are deploying Afflo’s own validated models or connecting your transplant center’s proprietary research models, the platform provides the secure data pipelines, inference APIs, and clinical UI components needed to bring those models to life — in the workflow, at the right moment.
No other transplant platform can offer this. The granularity and real-time nature of Afflo’s data — spanning donor evaluation, waitlist status, HLA matching, organ logistics, and post-transplant outcomes — is simply not available elsewhere.
01
Real-Time
Transactional data across every clinical touchpoint — referral through outcomes
02
End-to-End
The only platform covering the complete transplant lifecycle — donor to follow-up
03
Open
Connect Afflo’s AI modules or integrate your transplant center’s own research models
Intelligence Embedded Where It Matters
Afflo’s AI is not a dashboard bolted onto a separate system. It is embedded within the clinical workflows your teams already use, surfacing the right information at exactly the right moment — without adding steps or friction.
Intelligent Referral Intake & Document Processing
Incoming referral packets — faxes, PDFs, scanned forms, consult notes, lab results — are automatically ingested, parsed, and converted into structured clinical records. Coordinators review and validate rather than transcribe, reducing intake time significantly and cutting the risk of missed eligibility criteria. The AI understands transplant-specific clinical language and extracts key demographic, diagnostic, and immunologic data into Afflo’s standardized fields — ready for evaluation from day one.
Waitlist Intelligence & Risk Monitoring
Afflo continuously monitors the status of every patient on your waitlist — tracking testing intervals, expiring workups, psychosocial requirements, and eligibility changes. AI-generated alerts surface patients at risk of suspension or removal before problems occur, keeping coordinators proactive rather than reactive.
Organ Offer Decision Support
When a donor organ offer arrives, the clock starts. Afflo’s AI analyzes donor and recipient data in real time, surfacing compatibility considerations, relative risk factors, and any anomalies or missing data that a time-pressured team might otherwise overlook. Side-by-side panels within the offer workflow display AI-generated predictions alongside the clinical data your surgeons and coordinators already review — designed to support faster, more confident decisions around the clock.
Integrated Logistics & Coordination Intelligence
Organ viability is time-critical. Afflo incorporates transport timelines, routing variables, ischemic time estimates, and procedure scheduling into offer evaluation — ensuring logistics are never the reason a decision goes wrong.
Predictive Decision Analytics
Afflo’s data platform supports two complementary predictive models that help clinical teams make better offer decisions: Expected graft survival — an estimate of patient and organ outcomes if this offer is accepted, based on donor and recipient characteristics. Time to next comparable offer — a prediction of how long a patient may wait if this offer is declined, helping teams weigh the trade-offs
Performance Insights & Utilization Analytics
Afflo’s data warehouse turns the full granularity of your program’s operational data into dashboards that reveal utilization patterns, equity metrics, allocation outcomes, and coordinator workload trends — giving leadership the visibility needed to improve continuously.
OPEN PLATFORM ARCHITECTURE
Bring Your Models. We Bring the Data.
Afflo is designed to be the integration platform for AI in transplant, not just the provider of it. Transplant centers and research teams that have built their own predictive models can connect them to Afflo through secure, standards-based APIs, running inference against live clinical data without manual data exports or re-entry.
What Afflo Provides
Real-time access to the full transactional data record — donor, waitlist, matching, offer, outcomes
Secure inference API framework for plugging in external models
Configurable UI panels to surface model outputs within existing clinical workflows
Audit-ready logging of AI-assisted decisions for compliance and review
Data warehouse and analytical layer for model training and validation
Policy simulation tools to test the impact of AI-informed changes on historical data
What Your Team Brings
Institution-specific predictive models trained on your program’s patient populations
Research models developed through academic or clinical partnerships
Jurisdiction-specific algorithms for allocation policy optimization
Specialty organ models (liver, kidney, heart, lung) adapted to local practice patterns
Validated models from published research, ready for deployment into clinical settings
The data problem in transplant AI is not a shortage of researchers or algorithms — it is a shortage of real-time, end-to-end operational data. Afflo solves that problem. When your model runs inside Afflo, it runs on the most complete, most current transplant data available.
CLINICAL USE CASES
Where AI Creates Impact in Transplant
Afflo’s AI capabilities are focused on the specific moments where evidence and speed combine to change patient outcomes. Each use case is validated against real-world transplant workflows and designed to support — not replace — clinical judgment.
01 Automated Referral Intake for Kidney & Liver Programs
Transplant coordinators at high-volume centers receive hundreds of referral packets annually in heterogeneous formats — faxes, scanned handwritten forms, partial attachments. Afflo’s document AI ingests and structures these into standardized records, reducing intake from approximately 3 hours per patient to under 1.5 hours while cutting transcription errors and accelerating time-to-evaluation.
02 Predicted Graft Survival at the Time of Offer
When a deceased-donor kidney or liver offer arrives, Afflo surfaces a predictive graft survival estimate computed from donor clinical characteristics (including KDRI and KDPI), recipient health status, compatibility factors, and logistics. This quantitative signal is presented alongside existing case data to support faster, more consistent acceptance decisions — especially during overnight shifts and high-volume periods.
03 Time-to-Next-Comparable-Offer Prediction
Declining an organ offer is often the right decision — but it is rarely made with full information about what comes next. Afflo’s predictive model estimates the expected wait time to an organ offer of equivalent or better quality, enabling surgeons and patients to weigh the real trade-offs. Research has demonstrated that older waitlisted candidates in particular may derive significant benefit from organs they might otherwise decline, and that this type of insight meaningfully reduces both unnecessary organ discards and overly conservative decisions.
04 Waitlist Mortality Risk & Patient Prioritization
AI-generated risk scores help coordinators and physicians identify patients at elevated risk of deterioration or mortality while waiting, enabling targeted clinical follow-up and priority review. Integrated with Afflo’s waitlist management workflows, these signals surface automatically within daily task queues — no separate reporting step required.
05 Policy Impact Simulation & Allocation Analytics
Afflo’s Policy Management Workbench allows transplant networks and oversight bodies to simulate proposed allocation rule changes against historical data before deployment. AI-assisted analysis surfaces the likely impact on organ utilization, equity metrics, and patient outcomes — enabling evidence-based policy decisions at a jurisdictional scale.
WHY IT WORKS
AI That Is Grounded in Real Transplant Operations
Data That No Export Can Replicate
Afflo captures every clinical event in real time — not as a nightly batch export, not as a manual database pull. When AI models run inside Afflo, they operate on the current state of every patient, every donor, and every offer. That currency is what makes predictions clinically meaningful.
Incremental Adoption, Not a Rip-and-Replace
Afflo’s modular architecture means AI capabilities can be added to your existing program without a full platform migration. Deploy a single capability today — document ingestion, offer analytics, or waitlist monitoring — and expand as your team builds confidence and appetite.
People Stay in the Workflow
Every AI feature in Afflo is designed to augment the clinician, not to replace them. Coordinators review and validate AI-extracted data. Surgeons receive predictive signals as one input among many. The AI handles the volume and complexity; the human makes the call.
Audit-Ready and Compliance-Aligned
Every AI-assisted decision is logged with full traceability. Afflo is designed to meet the rigorous transparency requirements of transplant oversight bodies, including support for equity reporting and allocation audits.
Purpose-Built for Transplant
Afflo’s AI was developed in close collaboration with transplant clinicians, coordinators, and investigators. Every model and interface was designed around the specific language, constraints, and urgency of transplant — not adapted from a general clinical AI toolkit.
A Framework That Grows
The inference infrastructure, API layer, and UI framework built to deliver today’s AI capabilities are designed to support tomorrow’s models — whether that means tissue matching, diagnostic imaging integration, or new predictive applications as transplant science evolves.
Ready to Connect Your Program to the Future of Transplant AI?
Whether you are looking to deploy Afflo’s validated AI modules or integrate your institution’s own models into a real-time clinical platform, we would like to show you what is possible.