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{ "item_title" : "AI in Medical Coding", "item_author" : [" Gruw Light "], "item_description" : "AI in Medical CodingA Beginner-Friendly Guide to Artificial Intelligence, Automation, Compliance, Revenue Cycle Management & Future Healthcare WorkflowsArtificial Intelligence is rapidly transforming healthcare, medical coding, billing operations, documentation review, compliance monitoring, and Revenue Cycle Management. As healthcare organizations continue adopting AI-assisted technologies, students and professionals are increasingly asking:What is Artificial Intelligence?How does AI impact medical coding?Will AI replace medical coders?What skills will future healthcare professionals need?How can coders prepare for technology-driven healthcare environments?This beginner-friendly guide was created to answer those questions in a simple, practical, and easy-to-understand format.Whether you are a medical coding student, CPC or CCS candidate, healthcare professional, billing specialist, educator, or simply curious about the future of healthcare technology, this book provides a clear introduction to Artificial Intelligence in modern healthcare operations.Inside This Book, You'll Discover:Artificial Intelligence fundamentals explained in simple languageMachine Learning and Natural Language Processing basicsElectronic Health Records and digital healthcare systemsComputer-Assisted Coding (CAC) technologyAI-assisted medical coding workflowsClinical Documentation Improvement (CDI) conceptsRevenue Cycle Management and healthcare automationCompliance, privacy, and ethical considerationsHuman oversight in AI-assisted environmentsReal-world healthcare AI case scenariosCommon misconceptions about AI in medical codingFuture career opportunities and industry trendsCareer development guidance for future medical codersBeginner AI terminology guide and glossaryReflection questions and learning resourcesWho Should Read This Book?Medical Coding StudentsCPC Exam CandidatesCCS Exam CandidatesMedical BillersRevenue Cycle Management ProfessionalsHealthcare AdministratorsCompliance LearnersHealthcare EducatorsAnyone interested in healthcare technology and Artificial IntelligenceOne of the most important messages throughout this book is that Artificial Intelligence is not a replacement for human expertise. Instead, the future of healthcare will likely involve collaboration between Human Intelligence and Artificial Intelligence working together to improve healthcare operations, efficiency, accuracy, and patient-centered outcomes.If you're ready to understand the future of healthcare technology and build confidence in AI-assisted medical coding environments, this book is the perfect place to begin.Start your journey into the future of medical coding today.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/9/79/819/915/9798199153690_b.jpg", "price_data" : { "retail_price" : "15.50", "online_price" : "15.50", "our_price" : "15.50", "club_price" : "15.50", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
AI in Medical Coding|Gruw Light

AI in Medical Coding : A Beginner-Friendly Guide to Artificial Intelligence, Automation, Compliance, Revenue Cycle Management & Future Healthcare Workf

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Overview

AI in Medical Coding
A Beginner-Friendly Guide to Artificial Intelligence, Automation, Compliance, Revenue Cycle Management & Future Healthcare Workflows

Artificial Intelligence is rapidly transforming healthcare, medical coding, billing operations, documentation review, compliance monitoring, and Revenue Cycle Management. As healthcare organizations continue adopting AI-assisted technologies, students and professionals are increasingly asking:

  • What is Artificial Intelligence?

  • How does AI impact medical coding?

  • Will AI replace medical coders?

  • What skills will future healthcare professionals need?

  • How can coders prepare for technology-driven healthcare environments?

This beginner-friendly guide was created to answer those questions in a simple, practical, and easy-to-understand format.

Whether you are a medical coding student, CPC or CCS candidate, healthcare professional, billing specialist, educator, or simply curious about the future of healthcare technology, this book provides a clear introduction to Artificial Intelligence in modern healthcare operations.

Inside This Book, You'll Discover:

Artificial Intelligence fundamentals explained in simple language

Machine Learning and Natural Language Processing basics

Electronic Health Records and digital healthcare systems

  • Computer-Assisted Coding (CAC) technology
  • AI-assisted medical coding workflows
  • Clinical Documentation Improvement (CDI) concepts
  • Revenue Cycle Management and healthcare automation
  • Compliance, privacy, and ethical considerations
  • Human oversight in AI-assisted environments
  • Real-world healthcare AI case scenarios
  • Common misconceptions about AI in medical coding
  • Future career opportunities and industry trends
  • Career development guidance for future medical coders
  • Beginner AI terminology guide and glossary
  • Reflection questions and learning resources
Who Should Read This Book?
  • Medical Coding Students

  • CPC Exam Candidates

  • CCS Exam Candidates

  • Medical Billers

  • Revenue Cycle Management Professionals

  • Healthcare Administrators

  • Compliance Learners

  • Healthcare Educators

  • Anyone interested in healthcare technology and Artificial Intelligence

One of the most important messages throughout this book is that Artificial Intelligence is not a replacement for human expertise. Instead, the future of healthcare will likely involve collaboration between Human Intelligence and Artificial Intelligence working together to improve healthcare operations, efficiency, accuracy, and patient-centered outcomes.

If you're ready to understand the future of healthcare technology and build confidence in AI-assisted medical coding environments, this book is the perfect place to begin.

Start your journey into the future of medical coding today.

This item is Non-Returnable

Details

  • ISBN-13: 9798199153690
  • ISBN-10: 9798199153690
  • Publisher: Independently Published
  • Publish Date: May 2026
  • Dimensions: 9 x 6 x 0.73 inches
  • Shipping Weight: 1.04 pounds
  • Page Count: 352

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