Bookshock Ask Tez ✨
Buck's Workbook for Step-By-Step Medical Coding, 2025 Edition cover

Buck's Workbook for Step-By-Step Medical Coding, 2025 Edition

by Jackie Koesterman, Elsevier

Lowest price on Bookshock
$59.99
1 offer
In stock

Ask Tez about this book →

This title is temporarily out of stock. Email support@bookshock.ai or call (972) 638-0790 and we'll let you know when it's back.
Free US shipping
30-day free returns
Stripe-secured checkout

All offers (1)

PriceConditionSeller
$59.99Best price New Basi6 International LLC

Stock and pricing refresh on page load. Tez can also compare prices on Amazon, AbeBooks, and ThriftBooks if you ask.

About this book

Build your coding skills with this practical workbook! Matching the chapters in the bestselling <i>Buck's</i> <i>Step-by-Step Medical Coding,</i> this workbook offers coding review and practice with more than 1,200 theory, practical, and reporting exercises (odd-numbered answers provided). Included are 100 original source documents to familiarize you with reports similar to those you will encounter on the job. It's a complete review of all the code sets covered in the text, including ICD-10-CM, CPT, HCPCS, and inpatient coding! <ul> <li><b>NEW!</b> <b>Updated content</b> includes the latest coding information available</li> <li><b>UNIQUE!</b> <b>100 real-world coding reports</b> provide experience with reports similar to those you will encounter in practice</li> <li><b>Theory exercises</b> include fill-in-the-blank, multiple choice, and true or false questions</li> <li><b>Practical exercises</b> offer additional practice with line coding</li> <li><b>Coding answer format</b> mirrors that of <i>Buck's</i> main text (including icons to indicate when the learner must determine the number of codes to assign)</li> <li><b>Answers to odd-numbered questions</b> are included in Appendix B, allowing you to check your accuracy</li> </ul>

Details

Format
Paperback
Pages
256
Publisher
Elsevier
Language
EN
Edition
1
ISBN-13
9780443248795
ISBN-10
0443248796

Categories

Computers, Data Science, Bioinformatics, Medical