Turning fragmented transplant data into clear, real-time clinical insight.
MatchMind combines the long-context reasoning of Google Gemini 3.0 with the security and scale of Google Cloud to transform unstructured donor information into organized, actionable clinical insight. Our platform supports Organ Procurement Organizations (OPOs), transplant centers, and UNOS by standardizing donor data and improving the clarity, consistency, and accessibility of information needed for time-sensitive decision-making.
Why this matters
- Viable organs are lost because teams cannot rapidly process multi-system data.
- Labs, notes, hemodynamics, histories, and DICOM imaging remain siloed and manual.
- Transplant decisions are time-critical and cognitively overwhelming.
The Problem: Fragmented, Difficult-to-Use Donor Data
Organ transplantation operates under extreme time pressure, yet donor information is spread across EMRs, lab systems, PACS, device monitors, and free-text clinical notes. This fragmentation creates several challenges:
Unstructured & multi-modal data
Donor cases generate labs, clinical notes, histories, device data, and DICOM imaging. These streams arrive in different formats and systems, rarely normalized or summarized in real time.
Manual, time-consuming workflows
Clinicians and coordinators manually review dozens of reports and images under intense time pressure, increasing cognitive load and the risk of delayed or missed opportunities for organ acceptance.
- Duplicated or conflicting values across multiple attachments and reports
- Data that makes it harder for national health systems to share information between stakeholders and regulatory agencies
Lost organs, lost lives
When teams cannot rapidly synthesize data, viable organs go unused. There is currently no modern, AI-native coordination layer for this ecosystem.
The MatchMind Solution: A Unified Clinical Intelligence Layer
MatchMind securely ingests donor information from multiple clinical systems, standardizes it, and generates a single, verified donor record—a reliable foundation that supports evaluation across the transplant ecosystem.
Organ-specific summaries
Using Google Gemini 3.0 multimodal AI, MatchMind organizes medical histories, labs, imaging descriptions, and trend data into structured, organ-specific summaries (Heart, Lung, Liver, Kidney). The platform highlights relevant trends, clinical indicators, and management considerations, giving teams the clarity they need to make timely, informed decisions.
- Structured risk/benefit framing per organ.
- Trend-aware analysis of hemodynamics and labs.
- Contextualization of imaging findings and prior history.
AI-native donor case orchestration
We serve as the connective tissue between EMRs, lab systems, imaging archives, and transplant centers – a cloud-native coordination hub that keeps all stakeholders aligned around the same, up-to-date donor narrative.
MatchMind enhances clinical expertise by presenting clean, standardized, and contextualized donor information.
Value Across the Transplant Ecosystem
For Google, MatchMind represents a high-impact healthcare initiative that also drives meaningful and sustained cloud consumption. The transplant ecosystem has no modern digital infrastructure – creating a rare opportunity for Google to become the foundational platform in this space.
For OPOs
- Reduces documentation burden by automating data capture from EMRs, labs, and devices
- Creates structured, audit-ready donor records aligned with donation standards
- Provides real-time donor management recommendations and collaboration with our team based on clinical history, hemodynamics, labs, imaging, and trends
- Supports coordinator training with consistent educational guidance
For Transplant Centers
- Accelerates offer evaluation with concise organ-specific reports that present key viability factors
- Provides immunologic context and size-matching assistance for recipient selection
- Reduces cognitive load by replacing fragmented attachments with standardized summariesReduces cognitive load by replacing fragmented attachments with standardized summaries
- Supports timely acceptance decisions during critical allocation windows
For UNOS & National Systems
MatchMind is positioned as a collaborative technology partner supporting data quality and operational clarity.
- Improves data integrity by generating a standardized donor record directly from verified clinical sources
- Provides structured outputs that can align with DonorNet formats and registry needs
- Supports allocation efficiency by ensuring cleaner, more consistent donor information before it enters national workflows
- Enhances transparency and auditability, linking each data point to its original source
MatchMind helps provide the data clarity essential for national governance, oversight, and equitable allocation.
Powered in Partnership with Google
MatchMind is built on a “Security-First” foundation using the most advanced tools from the Google Cloud healthcare ecosystem.
- Google Gemini 3.0 provides multimodal long-context synthesis across clinical histories, labs, imaging descriptions, and structured data
- Google Medical Imaging Suite enables DICOM ingestion and imaging-based organ context
- Vertex AI for Healthcare (built on Google Cloud) enables compliant interoperability through FHIR, HL7, and DICOMweb
- Google Cloud security primitives ensure encryption, identity management, auditability, and full PHI compliance
This partnership enables the scale, security, and performance required for national-level transplant data infrastructure.
Technology Overview
MatchMind is built from the ground up on Google Cloud, with security, compliance, and interoperability as first-class design principles.
Data ingestion & normalization
- Connectors for EMRs (Epic, Cerner), LIS, PACS, and device data.
- Automated FHIR and HL7 normalization.
- DICOM ingestion with metadata extraction.
- Intelligent OCR for bedside monitors and unintegrated devices.
- Event-driven updates as new data becomes available.
Inference & orchestration with Gemini
- Multimodal reasoning with Google Gemini 3.0.
- Organ-specific reasoning templates and guardrails.
- Deterministic logic for safety-critical metricsDeterministic logic for safety-critical metrics.
Security, compliance & auditability
- Google Cloud security primitives, identity, and access controls.
- Fine-grained logging for clinical and operational audit trails.
- Design aligned with HIPAA and leading security frameworks.
Interoperability & ecosystem integration
- APIs for OPO and transplant-center workflows.
- Integration paths for UNOS and national registry systems.
- Extensible architecture for multi-institution deployments.
Impact & Vision
MatchMind’s goal is to bring clarity, consistency, and structure to donor data—supporting the transplant ecosystem with a reliable, standardized donor record.
For patients & families
Higher utilization of viable organs, more equitable matching, and a better chance at life-saving transplants.
For clinical teams
Reduced cognitive load, clearer decision support, and a shared, always-current donor narrative across all stakeholders.
- OPOs improve efficiency and donor management consistency
- Transplant teams evaluate offers more quickly and confidently
For UNOS
- Researchers, and regulatory agencies benefit from clean, standardized, HIPAA compliant data
- National transplant operations gain improved interoperability and transparency
Contact & Partnership
Please contact us if interested in learning about MatchMind Solutions: fill out the form or email us at: contact@matchmind.us