KevinMD January 27, 2026
Pamela Ashenfelter, RN

I’ve spent more than 30 years in nursing, and in recent years my work has shifted to something most people never think about: clinical data abstraction. My job is to review the medical record and extract the pieces of information that clinical registries rely on for research, quality reporting, regulatory requirements, and everyday decision-making. It’s specialized work that depends on clinical judgment, a deep understanding of clinical documentation in the EHR, and a commitment to getting every detail right.

Abstraction is complicated and requires clinical expertise. The day-to-day work can be challenging and arduous. Information lives in many different places in the patient’s chart and often in multiple systems, not just the EHR. Clinical documentation also varies from one clinician...

Today's Sponsors

Venturous
ZeOmega

Today's Sponsor

Venturous

 
Topics: AI (Artificial Intelligence), Nursing, Provider, Technology
Contextual AI launches Agent Composer to turn enterprise RAG into production-ready AI agents
OpenAI’s latest product lets you vibe code science
WISeR in 2026: Legal, Compliance, and AI Challenges That Could Reshape Prior Authorization for Skin Substitutes
Dario Amodei warns AI may cause ‘unusually painful’ disruption to jobs
Daniel Kraft: “The future of healthcare depends on our mindset”

Share Article