This course is designed to help learners of all backgrounds understand and apply claim scrubbing and rule-engine techniques in medical billing and revenue cycle management (RCM) in real-world healthcare settings. Whether you’re working in medical coding, billing, administration, Healthcare IT, or compliance, this course emphasizes HIPAA, HITECH, Business Associate Agreements (BAA), data protection, data safety, insurance rules, and payer compliance—with hands-on practice building edits, validations, and rule engines that boost first-pass clean-claim rates.

You’ll learn how claim data quality is built using standardized fields, code sets, and validation logic—then apply a structured taxonomy of rules (demographics, eligibility, coding/bundling, medical necessity, frequency, prior auth, POS/TOB, COB) to intercept issues before submission. The course also covers interoperability and EDI—including how to interpret the feedback loops from 837/999/277CA/835—and how to translate payer guidance (e.g., NCCI, LCD/NCD) into operational rules.

Designed to be beginner-friendly, this course offers clear explanations, interactive exercises, and realistic examples from EHRs, claim files, payer responses, and billing documentation to help reinforce learning. No prior medical knowledge is needed.

What You’ll Learn

• Understand the structure and components of high-quality claims and pre-bill edits

• Learn rule-design patterns for demographics, coding, bundling, and medical necessity

• Recognize terms used in payer edits, clearinghouse rejections, and denial codes

• Apply claim scrubbing in clinical, coding, billing, and administrative contexts

• Interpret chart notes, EDI acknowledgments, and payer responses with confidence

• Strengthen communication across billing, compliance, and Healthcare IT teams

• Prepare for roles in claim scrubbing, denial prevention, revenue integrity, or RCM analytics

Course Features

• 35+ video lessons organized by workflow, edit taxonomy, and system integration

• Systematic breakdown of rules & edits with real-life examples and test cases

• Focus on high-impact scenarios (NCCI, LCD/NCD, frequency, modifiers, prior auth)

• Easy-to-follow format, suitable for all learners—including ESL students

• Accessible on mobile, desktop, or tablet

Who This Course Is For

• Aspiring and current billers, coders, and RCM analysts focused on prevention

• Practice managers and owners seeking higher first-pass rates and lower rework

• Healthcare IT/compliance professionals implementing HIPAA/HITECH and BAAs

• Anyone entering medical billing who needs practical, automation-ready skills

Mapped Sections (what you’ll cover step-by-step)

• Foundations of Claim Scrubbing

• Rules & Edits Taxonomy

• Building & Operating a Rule Engine

• EDI & Interoperability

• Provider vs Payer Perspectives

• Intermediate Claim Scrubbing Topics

• Advanced/Expert Rule Strategies

• Operations, QA & Governance

• Metrics, KPIs & Economic Impact

• Integration with PMS/EHR & Up/Downstream

• Compliance, Security, Ethics

• Tools & Implementation Patterns

• Reporting & Executive Communication

Disclosure: This course contains the use of artificial intelligence for clear voiceovers.