Searchable text is not the same thing as decision-ready clinical information.
Large clinical corpora contain inconsistent language, documentation styles, missingness and ambiguous outcomes. A classification workflow needs clinical definitions, repeatable rules and validation — not just text processing.
Problem
Convert a high-volume set of surgical records into structured categories that support pathway analysis and operational prioritization without erasing clinical nuance.
Approach
Define the clinical question first, establish categories and edge cases, build repeatable review logic, validate disagreement and preserve traceability from structured output back to the source context.
Outputs
The result is a structured analytical layer that can support outcome review, pathway analysis, prioritization and quality-improvement questions at scale.
Classification is useful only when the category has a clinical meaning, the rule is reproducible and the uncertain cases remain visible instead of being forced into false certainty.
Limits & governance
No source records or patient information are exposed in this portfolio. The public case describes workflow design, validation logic and analytical purpose only.