AI-Powered Organ Donation Viability Platform
Client: National Organ Donation & Transplant Coordination Network
Industry: Healthcare / Life Sciences
Services: AI/ML Engineering • OCR & NLP • Workflow Automation • Data Normalization
The Challenge
Evaluating the medical viability of a potential organ donor is an urgent, time-critical process.
But the client faced major barriers:
- Incoming charts from multiple hospital systems, all in different format
- Handwritten physician notes and unstructured medical data
- Over 25 clinical staff manually reviewing each case
- 6+ hours required per patient to assess viability
- High risk of delays or data inconsistencies
- Potentially viable organs being lost due to time constraints
The client needed a faster, standardized, clinically accurate assessment method — without compromising medical judgment.
Our Solution
Réseau Group built a secure, AI-powered platform that automates donor chart processing, clinical parameter extraction, and viability scoring.
Key Capabilities
- AI-Based Chart Normalization: All incoming charts — PDFs, EHR exports, scans, photos, and faxes — were converted into a uniform structured medical format using AI-driven parsing.
- OCR for Handwritten Notes: A custom OCR + NLP engine extracted insights from handwritten physician notes and mapped synonymous phrases to consistent clinical terminology.
- Automated Evaluation of 75+ Clinical Parameters: The platform automatically analyzed critical metrics such as:
- Organ temperature curves
- Body temperature at transport & cooling
- Cardiac markers
- Pulmonary function
- Nephrology indicators
- Donor history & event timeline
4. Clinical Decision Support Workflow: AI generated preliminary viability recommendations.
Medical staff could cross-check every parameter, validate interpretations, and review source documents side-by-side.
The Results:
Assessment time reduced from 6 hours to under 30 minutes
Critical viability decisions became significantly faster and more reliable.
50–70% reduction in manual chart review workload
Clinical teams focused on judgment — not data gathering.
Consistent, standardized donor documentation
No matter the originating hospital, charts were normalized into a single format.
Improved organ match rates and reduced loss of viable organs
Faster decisions increased the likelihood of successful transplants.
Higher accuracy & fewer missed parameters
AI ensured no key clinical signal was overlooked.
Technologies Used
- AI/ML Models for Parameter Extraction
- OCR + NLP for Handwriting Interpretation
- Secure HIPAA-Compliant Architecture
- Workflow Automation & Microservices
- Cloud-based Processing Pipelines
Why This Matters
Organ transplantation depends on speed and clinical precision.
By transforming a slow, manual process into a streamlined, AI-supported workflow, Réseau Group empowered clinicians to make accurate, life-saving decisions faster than ever.