Patient Record Linkage at Scale
1 min
Overview #
I designed and built a large-scale patient matching system combining learned representations with deterministic constraints.
The system used neural embeddings, blocking strategies, clustering, and precision/recall evaluation techniques to link records across healthcare datasets while balancing accuracy and scalability.
Why it matters #
Entity resolution is a foundation problem for healthcare data. Small errors have large downstream effects, and the system must combine statistical learning with domain knowledge.
Themes #
- Representation learning
- Entity resolution
- Evaluation methodology
- Production ML systems