High-Reliability Abstraction: Building Consistency Across Every Case, Every Abstractor, Every Time (60000388)
Availability
On-Demand
Expires on Oct 21, 2026
Cost
$0.00
Credit Offered
1 CPHQ CE Credit
Behind every performance improvement project, reimbursement update, and CMS validation is a stream of abstracted data. And small inconsistencies can have major downstream effects. In this session, veteran quality leader Stephanie Iorio, BSN, RN, CPHQ, walks leaders through the proven methods used by American Data Network to scale hundreds of abstraction programs nationwide at over 98% accuracy. You’ll learn how to operationalize Inter-Rater Reliability (IRR) as a governance engine: policies, sampling, buddy reviews, adjudication logs, and leadership oversight. With concrete examples, lessons from the field, and ready-to-use templates, you’ll leave with a practical playbook for transforming your abstraction program into a high-reliability learning system, protecting your hospital from costly errors and strengthening every decision you make.
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