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.
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, from a new referral and lab result to an organ offer and 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 integrate, 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 research models, the platform provides the secure data pipelines, inference APIs and clinical UI components needed to bring those models into the workflow at the right moment.
AI Informed by the Real World
Afflo’s technology is also informed by real-world transplant operations across the Buckeye network, creating a continuous connection between technology development and how transplant programs actually work.
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, from referral through outcomes.
02 — End-to-End
The only platform covering the complete transplant lifecycle, from donor identification through post-transplant follow-up.
03 — Open
Connect Afflo’s AI modules or integrate your transplant center’s own research models.
04 — Informed by Real Operations
Technology development informed by real-world transplant workflows and operating experience across the Buckeye network.
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 the right moment without adding steps or friction.
Incoming referral packets, including faxes, PDFs, scanned forms, consult notes and lab results, are automatically ingested, parsed and converted into structured clinical records. Coordinators review and validate rather than transcribe, reducing intake time and the risk of missed eligibility criteria.
Afflo’s document AI understands transplant-specific clinical language and extracts key demographic, diagnostic and immunologic data into standardized fields, ready for evaluation from day one.
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 anomalies or missing data that a time-pressured team might otherwise overlook.
Side-by-side panels within the organ offer workflow display AI-generated predictions alongside the clinical data surgeons and coordinators already review, supporting faster, more confident decisions around the clock.
Afflo’s transplant data platform supports complementary predictive models that provide additional context when clinical teams evaluate an organ offer.
Expected graft survival: an estimate of patient and organ outcomes if an offer is accepted, based on donor and recipient characteristics.
Time to next comparable offer: a prediction of how long a patient may wait if the current offer is declined, helping teams understand the trade-offs involved in the decision.
Afflo continuously monitors every patient on the 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, helping coordinators stay proactive rather than reactive.
Organ viability is time-critical. Afflo incorporates transport timelines, routing variables, ischemic time estimates and procedure scheduling into organ offer evaluation, keeping logistics connected to the clinical decision rather than treating it as a separate workflow.
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 an AI solution. 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 transplant data record, including donor, waitlist, matching, offer and outcomes
- Secure inference API framework for integrating external AI 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 for liver, kidney, heart and 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, 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.
Transplant coordinators at high-volume centers receive referral packets in heterogeneous formats, including faxes, scanned forms and partial attachments. Afflo’s document AI ingests and structures that information into standardized records, reducing intake from approximately three hours per patient to under 1.5 hours while cutting transcription errors and accelerating time to evaluation.
When a deceased-donor kidney or liver offer arrives, Afflo surfaces a predictive graft-survival estimate based on 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 organ offer decisions, especially during overnight shifts and high-volume periods.
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 better understand the trade-offs.
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 without requiring a separate reporting step.
Afflo’s Policy Management Workbench allows transplant networks and oversight bodies to simulate proposed organ allocation rule changes against historical data before deployment.
AI-assisted analysis can surface potential impacts on organ utilization, equity metrics and patient outcomes, supporting evidence-based policy decisions at a jurisdictional scale.
AI Grounded in Real Transplant Operations
Data That No Export Can Replicate
Afflo captures clinical events in real time, not as a nightly batch export or manual database pull. When AI models run inside Afflo, they operate on the current state of the patient, donor and organ offer. That currency is what makes predictions clinically meaningful.
Real-World Transplant Context
Afflo’s technology is informed by operating experience across the Buckeye transplant network, connecting product development with the workflows, pressures and decisions transplant teams encounter every day.
Incremental Adoption, Not a Rip-and-Replace
Afflo’s modular architecture means AI capabilities can be added to an existing transplant program without a full platform migration. Deploy a single capability, such as document ingestion, offer analytics or waitlist monitoring, and expand as your team is ready.
People Stay in the Workflow
Every AI feature in Afflo is designed to augment the clinician, not replace them. Coordinators review and validate AI-extracted data. Surgeons receive predictive signals as one input among many. AI handles volume and complexity. People make the decisions.
Audit-Ready and Compliance-Aligned
Every AI-assisted decision is logged with full traceability. Afflo supports the transparency and governance requirements of transplant oversight bodies, including equity reporting and allocation audits.
Purpose-Built for Transplant
Afflo’s AI was developed in close collaboration with transplant clinicians, coordinators and investigators. Models and interfaces are designed around the specific language, constraints and urgency of transplantation, not adapted from a general clinical AI toolkit.
A Framework Designed to Evolve
The inference infrastructure, API layer and UI framework behind Afflo’s current AI capabilities are designed to support new models and applications as transplant science evolves.
Ready to Connect Your Program to the Future of Transplant AI?
Book a 30-minute demo to see how Afflo combines real-time transplant data, AI-assisted workflows and predictive analytics, or how your institution’s own validated models can be integrated directly into the clinical workflow.