The third edition of Medical Insurance: An Integrated Claims Process Approach is designed for medical insurance courses. The textbook provides medical assisting, medical insurance, and health information technology students with the knowledge and skills needed to successfully perform insurance and billing related duties. The chapters’ organization follows the medical billing process to enhance learning, moving from a comprehensive introductory chapter through processing RA/EOBs and handling patient collections. Every chapter has extensive illustrations, forms, and exercises to develop the required competencies as well as exercises to improve underlying essential math and communications skills. This text also provides a fundamental understanding of diagnostic and procedural coding needed to submit claims in compliance with payers’ requirements. New for this edition is a text-specific workbook which provides both review and applications of each textbook chapter.

Resource added for the Health Care Business Services program 101601.

The Workbook for use with Medical Insurance, 6e, is intended to strengthen, reinforce, and expand student learning of the skills and concepts presented in the text. This workbook complements the text and follows the same learning outcomes as Medical Insurance, 6e. The workbook has been updated to reflect the changes in the main text.

The sixth edition of Medical Insurance: An Integrated Claims Process Approach emphasizes the medical billing cycle—ten steps that clearly identify all the components needed to successfully manage the medical insurance claims process. The cycle shows how administrative medical professionals “follow the money.” Medical insurance specialists must be familiar with the rules and guidelines of each health plan in order to submit proper documentation, which then ensures that offices receive maximum, appropriate reimbursement for services provided. Each part of the book is dedicated to a section of the cycle followed by case studies to apply the skills discussed in each section. These case studies can be completed with the electronic CMS-1500 at www.mhhe.com/valerius6e or using simulated Medisoft exercises in Connect Plus, McGraw-Hill's homework and assessment platform.

Medical Insurance 5e provides students with the knowledge and skills needed to successfully perform insurance and billing related duties. Following the medical billing process, instruction moves from a comprehensive introductory chapter through processing RA/EOBs and handling patient collections. It has extensive illustrations, forms, and exercises to develop required competencies. Exercises improve underlying essential math and communications skills. This text also provides a fundamental understanding of diagnostic and procedural coding needed to submit claims in compliance with payers’ requirements.

This concise, practical text-workbook provides extensive real-world practice with the HIPAA 837 electronic claim form and CMS 1500 paper claims. Includes flow charts, claims processing forms, and medical reports. Coding and billing content is based on industry practice and addresses electronic claims and a variety of compliance issues. The text provides a brief introduction to NDCMedisoft Advanced, Version 9 software.

The Eighth edition of Medical Insurance: A Revenue Cycle Process Approach emphasizes the revenue cycle—ten steps that clearly identify all the components needed to successfully manage the medical insurance claims process . The cycle shows how administrative medical professionals “follow the money .” Medical insurance specialists must be familiar with the rules and guidelines of each health plan in order to submit proper documentation, which then ensures that offices receive maximum, appropriate reimbursement for services provided . Learn the skills you need for your health professions career using multiple digital resources . Read and study the content more effectively—spending more time on topics you don’t know and less time on the topics you do by using SmartBook®, McGraw-Hill Education’s revolutionary adaptive learning technology