CareFuse
Transparent AI for Hip & Knee Replacement Outcome Predictions. Per-member clinical predictions with SHAP explanations, built for InterQual/MCG workflows and HL7 FHIR PAS.
Visit CareFuse WebsiteThe Perfect Storm: Four Converging Healthcare Forces
The U.S. healthcare system is experiencing unprecedented regulatory convergence that's transforming how knee replacement decisions are made, measured, and governed.
The Accountability Challenge
APU Reduction Penalty for non-compliance with PROMs collection
The Subjectivity Problem
Physician Variation - Significant disagreement on TKA indications
The Transparency Requirement
States with AI Laws requiring physician oversight of AI decisions
The Evidence Gap Problem
TKAs Avoidable with structured conservative care
CareFuse Solution
Our platform addresses these challenges with transparent, explainable AI that integrates seamlessly with existing healthcare workflows while ensuring regulatory compliance.
FHIR PAS Ready
Built for Da Vinci PAS workflows and ePA compliance by 2027
SHAP Explainable
Transparent AI with per-member clinical explanations
InterQual/MCG Compatible
Seamless integration with existing UM workflows
FDA Compliant
Built under FDA non-device CDS exemption for healthcare compliance
My Role & Technical Contributions
Co-founder & Machine Learning Lead at CareFuse
Machine Learning Development
- Developed explainable AI models for TKA outcome prediction
- Implemented SHAP explanations for clinical transparency
- Achieved ~0.93 AUC with robust calibration techniques
- Organized a large OAI dataset for internal model development and analysis
- Applied propensity weighting for causal robustness
Platform & Deployment
- Built FastAPI + Docker deployment infrastructure
- Developed dockerized RESTful APIs for model serving and internal tooling
- Designed and implemented the company's website and public-facing UI
- Designed FHIR R4 and Da Vinci PAS integration
- Ensured FDA non-device CDS exemption compliance
- Implemented multi-seed holdout validation
Impact & Vision
CareFuse represents my commitment to using AI for patient safety and clinical transparency. By providing explainable predictions and seamless workflow integration, we're helping healthcare providers make evidence-based decisions that prioritize patient outcomes over volume.