Graph matching and edit distance algorithms form a cornerstone of modern computational techniques used to quantify the similarity between structured data. These methods underpin a wide array of ...

Accurate patient matching across the care continuum is essential for quality and safety. It's also key to driving down healthcare costs by reducing the ordering of duplicative medical tests. But ...

Accurate person identity data is one of the most difficult challenges in healthcare today. The stakes are high; merge the wrong records, and you create a privacy risk; fail to link the right ones, and ...

Accurate linking of an individual's medical records from disparate sources within and between health systems, known as patient matching, plays a critical role in patient safety and quality of care, ...

We examined the performance of four families of large language models (LLMs) and a variety of common fuzzy matching algorithms in assessing the similarity of names and addresses in a sanctions ...