Design and implementation of an end-to-end AI-driven colonoscopy recall workflow at scale.

Summary

OBJECTIVES: To develop a large-language-model (LLM)-centric workflow flow extraction and migration of clinician-documented colonoscopy recall recommendations from unstructured reports and letters during an enterprise-wide electronic health record (EHR) transition.

Clinical Relevance

This publication has potential implications for gastroenterology and endoscopy nursing practice. GI nursing professionals should review the full source material to assess how these findings may affect unit protocols, patient care workflows, or professional development.

Bottom Line

Stay current with developments like this to maintain evidence-based practice standards in your GI/endoscopy unit.