Ortho BioMed
Ortho BioMed is dedicated to delivering AI-driven healthcare solutions that optimize clinical workflows, enhance decision-making, and improve patient outcomes. They offer tailored services for healthcare providers, transplant centers, and medical researchers, focusing on predictive healthcare analytics, transplant decision support, and data integration.
Industries
Nr. of Employees
small (1-50)
Ortho BioMed
Products
Organ transplant decision-support platform
A platform that delivers survival predictions, match-level outcome forecasts, and similar-case insights to inform transplant matching and clinical decisions.
Organ transplant decision-support platform
A platform that delivers survival predictions, match-level outcome forecasts, and similar-case insights to inform transplant matching and clinical decisions.
Services
Transplant decision-support services
Services that provide waitlist survival estimates, post-transplant outcome predictions, and similar-case insights to support organ offer and matching decisions.
Predictive healthcare analytics
Development and deployment of predictive models to forecast disease progression, provide personalized treatment recommendations, and identify early risk of complications and readmissions.
Data integration and custom AI development
Integration of institutional clinical data and adaptation of AI models to unique organizational datasets and requirements.
Transplant decision-support services
Services that provide waitlist survival estimates, post-transplant outcome predictions, and similar-case insights to support organ offer and matching decisions.
Predictive healthcare analytics
Development and deployment of predictive models to forecast disease progression, provide personalized treatment recommendations, and identify early risk of complications and readmissions.
Data integration and custom AI development
Integration of institutional clinical data and adaptation of AI models to unique organizational datasets and requirements.
Expertise Areas
- Transplant clinical decision support
- Predictive healthcare analytics
- Clinical outcome modeling
- Clinical data integration and interoperability
Key Technologies
- Machine learning / predictive modeling
- Survival analysis (time-to-event models)
- Clinical decision support systems
- Case-similarity / case-based analytics