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AI in Healthcare Blog

A step-by-step blueprint for automating HEDIS and Star Ratings evidence extraction from clinical notes, grounded in production deployments and benchmarks.

Blog

HEDIS and Medicare Advantage Star Ratings both depend on evidence that often lives only in unstructured clinical text: discharge summaries, referral letters, physician progress notes. Structured claims data alone misses...

Twenty-six million adults in the United States have limited English proficiency, and half of them experienced a language barrier when dealing with a healthcare provider in the past three years...

High-Accuracy Clinical Term Mapping to Standard Medical Terminologies (ICD-10, RxNorm, SNOMED, and 90+ vocabularies) with...

A guide for healthcare data leaders navigating the gap between de-identification and provable compliance. If your organization handles clinical data, chances are you already have a de-identification pipeline in place....

DICOM de-identification is workflow-specific because PHI can appear in metadata tags, free-text metadata fields, burned-in image pixels, and encapsulated PDF content. A production pipeline may need to inspect tags, apply...