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Tricks of the Trade—Easing the Burden of Data Abstraction - 2023 Quality Summit Presentation (Non-CE)

Tricks of the Trade—Easing the Burden of Data Abstraction ​


Serina Felcher, MSQM - Clinical Effectiveness Consultant, Sutter Health

Lisa A. Foster, MOL, RTR(CV) - Quality Improvement Consultant II, Baylor Scott & White The Heart Hospital


Christina Koutras, BSN, RN, CPHQ - Director NCDR Registry Products, American College of Cardiology

This session will explore best practices and time-tested strategies for abstracting medical records accurately and efficiently. It will also introduce how facilities have implemented AI for CathPCI abstractions, detailing lessons learned, advantages/disadvantages, and how AI is easing data abstraction burden to allow sites to focus more on quality​.

Learning Objectives:

  • Discuss the trials and tribulations of implementing AI technology into data abstraction and quality improvement.
  • Explore the registry abstractor’s role in supporting and driving quality (with the assistance of AI)​.
  • Identify one time-saving technique that will improve data abstraction from the medical record and/or coding in the data collection tool.
Availability: On-Demand
Expires on Feb 07, 2027
Credit Offered:
No Credit Offered
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