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Elsevier: Buck's 2026 HCPCS Level II

Buck's 2026 HCPCS Level II

Selecting diagnosis codes is faster and easier with Buck's 2026 ICD-10-CM for Hospitals. Designed by coders for coders, this full-color manual includes all the ICD-10 codes that you need for today’s inpatient coding. As coders need extensive knowledge to code with ICD-10-CM - and to choose from the thousands of possible codes - this edition makes it easier with colorful anatomy plates (including Netter’s Anatomy illustrations) to help you understand anatomy and how it can affect your code choices. In addition, it comes with durable spiral binding, and includes a companion website with the latest coding updates.<ul><li>At-a-glance Guide to the 2026 ICD-10-CM Updates in the front of the book lists all new, revised, and deleted codes, providing a quick lookup of the coding changes.</li><li>Official Guidelines for Coding and Reporting (OGCRs) are listed in full at the beginning of the book, with chapter-specific guidelines listed at the beginning of each chapter and integrated within the code set, providing easier reference to coding rules when they are needed most.</li><li>UNIQUE! Full-color anatomy plates (including Netter’s Anatomy art) are included in a separate section for easy reference and cross-referenced within the Tabular List of Diseases and Injuries, to help you understand anatomy and how it may affect choosing codes.</li><li>Full-color design includes consistent color-coded symbols and text, providing easier access to codes and coding information.</li><li>American Hospital Association's Coding Clinic® citations include official ICD-10-CM coding advice relating to specific codes and their usage.</li><li>More than 190 illustrations provide visual orientation and enhance understanding of specific coding situations.</li><li>Items are included throughout the Tabular List to ensure accurate coding, providing additional information on common diseases and conditions.</li><li>Additional elements within specific codes define terms and add coding instructions relating to difficult terminology, diseases and conditions, or coding in a specific category.</li><li>Symbols and highlights draw attention to codes that may require special consideration before coding, including: <ul><li>New, Revised, and Deleted</li><li>Unacceptable Principal Diagnosis</li><li>Codes that Call for the Use of Additional Character(s)</li><li>Includes, Excludes1, and Excludes2</li><li>Use Additional</li><li>Code First and Code Also</li></ul></li><li>Placeholder X symbol reminds you to assign placeholder X for codes less than 6 characters that require a 7th character.</li><li>CC (Complications &amp; Comorbidities) and MCC (Major CC) symbols identify codes associated with the presence of secondary diagnoses from MS-DRGs, and call attention to CC and MCC exceptions.</li><li>Exclusion and PDX symbols indicate exclusions to CC and MCC for both primary and secondary diagnoses, along with the corresponding PDX Collection number.</li><li>Hospital Acquired Condition symbol clearly identifies conditions that will always be coded as hospital acquired.</li><li>Manifestation code symbol identifies conditions for which it is important to record both the etiology and the symptom of the disease.</li><li>HCC symbol indicates diagnoses in the Tabular List associated with Hierarchical Condition Categories.</li><li>Age and Sex edits from the Definition of Medicare Code Edits help to ensure accuracy by denoting codes that are used only with patients of a specific age or sex.</li><ul><li>NEW! Updated 2026 Official Code set reflects the latest ICD-10 codes needed for diagnosis coding.</li></ul>
</ul>

Buck's 2026 ICD-10-CM for Hospitals

The Physician and Facility Certification Step

Buck's Coding Exam Review 2026/2027

Cambridge Studies in Language Practices and Social Development

"Using real-life case studies, this book illustrates new research methods to increase the accessibility and translatability of critical environmental information. It is essential reading for both academic researchers and students in applied linguistics and translation studies"--

Language Accessibility Matters

Multilingual Environmental Communications

Enables readers to understand the future of medical applications with generative AI and related applications Generative Artificial Intelligence for Biomedical and Smart Health Informatics delivers a comprehensive overview of the most recent generative AI-driven medical applications based on deep learning and machine learning in which biomedical data is gathered, processed, and analyzed using data augmentation techniques. This book covers many applications of generative models for medical image data, including volumetric medical image segmentation, data augmentation, MRI reconstruction, and modeling of spatiotemporal medical data. The book explores findings obtained by explainable AI techniques, with coverage of various techniques rarely reported in literature. Throughout, feedback and user experiences from physicians and medical staff, as well as use cases, are included to provide important context. The book discusses topics including privacy and security challenges in AI-enabled health informatics, biosensor-guided AI interventions in personalized medicine, regulatory frameworks and guidelines for AI-based medical devices, education and training for building responsible AI solutions in healthcare, and challenges and opportunities in integrating generative AI with wearable devices. Topics covered include: <ul><li>Treatment of neurological disorders using intelligent techniques and image-guided and tomography interventions for neuromuscular disorders</li><li>Bio-inspired smart healthcare service frameworks with AI, machine learning, and deep learning, integration of IoT devices, and edge computing in industrial and clinical systems</li><li>Traffic management and optimization in distributed environments, patient data management, disease surveillance and prediction, and telemedicine and remote monitoring</li><li>Education-driven, peer-to-peer, and service-oriented architectures and transparency and accountability in medical decision-making</li></ul> Generative Artificial Intelligence for Biomedical and Smart Health Informatics is an essential reference for computer science researchers, medical professionals, healthcare informatics, and medical imaging researchers interested in understanding the potential of artificial intelligence and other related technologies in healthcare.

Generative Artificial Intelligence for Biomedical and Smart Health Informatics

Buck's Step-by-Step Medical Coding, 2026 Edition

Analytics and AI for Healthcare

This title covers computer vision and machine learning (ML) advances that facilitate automation in diagnostic, therapeutic, and preventative healthcare. The book shows the development of algorithms and architectures for healthcare.

Unboxing Machine Learning for Biomedicine

Explainable AI in Healthcare

For fast, accurate, and efficient coding, pick this practical HCPCS reference! Buck’s 2025 HCPCS Level II provides an easy-to-use guide to the latest HCPCS codes. It helps you locate specific codes, comply with coding regulations, manage reimbursement for medical supplies, report patient data, code Medicare cases, and more. Spiral bound, this full-color reference simplifies coding with anatomy plates (including Netter’s Anatomy illustrations) and ASC (Ambulatory Surgical Center) payment and status indicators. In addition, it includes a companion website with the latest coding updates.<ul><li>NEW! Updated HCPCS code set ensures fast and accurate coding, with the latest Healthcare Common Procedure Coding System codes to comply with current HCPCS standards.</li><li>Current Dental Terminology (CDT) codes from the American Dental Association (ADA) offer one-step access to all dental codes.</li><li>UNIQUE! Full-color anatomy plates (including Netter’s Anatomy illustrations) enhance your understanding of specific coding situations by helping you understand anatomy and physiology.</li><li>Easy-to-use format optimizes reimbursement through quick, accurate, and efficient coding.</li><li>At-a-glance code listings and distinctive symbols make it easy to identify new, revised, and deleted codes.</li><li>Full-color design with color tables helps you locate and identify codes with speed and accuracy.</li><li>Jurisdiction symbols show the appropriate contractor to be billed when submitting claims to Medicare carriers and Medicare Administrative Contractors (MACs).</li><li>Ambulatory Surgery Center (ASC) payment and status indicators show which codes are payable in the Hospital Outpatient Prospective Payment System to ensure accurate reporting and appropriate reimbursement.</li><li>Durable medical equipment, prosthetics, orthotics, and supplies (DMEPOS) indicators address reimbursement for durable medical equipment, prosthetics, orthotics, and supplies.</li><li>Drug code annotations identify brand-name drugs, as well as drugs that appear on the National Drug Class (NDC) directory and other Food and Drug Administration (FDA) approved drugs.</li><li>Age/sex edits identify codes for use only with patients of a specific age or sex.</li><li>Quantity symbol indicates the maximum allowable units per day per patient in physician and outpatient hospital settings, as listed in the Medically Unlikely Edits (MUEs) for enhanced accuracy on claims.</li><li>The American Hospital Association Coding Clinic® for HCPCS citations provide a reference point for information about specific codes and their usage.</li><li>Physician Quality Reporting System icon identifies codes that are specific to PQRS measures.</li></ul>

Buck's 2025 HCPCS Level II

Computational Methods in Medicinal Chemistry, Pharmacology, and Toxicology is a comprehensive resource that offers an advanced overview of computational techniques employed in drug discovery, design, and toxicity prediction. The book discusses various topics, including molecular modeling, virtual screening, machine learning, and network pharmacology. It serves as an essential guide for researchers, practitioners, and students in pharmacology, toxicology, medicinal chemistry, bioinformatics, and systems biology fields, showcasing practical applications and future perspectives on new technologies. In addition to covering computational approaches, the book provides real-world examples of drug discovery, candidate optimization, and safety assessment. Other sections explore computer applications in pharmacology and toxicology and discusses the importance of these methods in advancing medicinal research.

Computational Methods in Medicinal Chemistry, Pharmacology, and Toxicology

Build your coding skills with this practical workbook! Matching the chapters in the bestselling Buck’s Step-by-Step Medical Coding, 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>NEW! Updated content includes the latest coding information available.</li><li>UNIQUE! 100 real-world coding reports provide experience with reports similar to those you will encounter in practice.</li><li>Theory exercises include fill-in-the-blank, multiple choice, and true or false questions.</li><li>Practical exercises offer additional practice with line coding.</li><li>Coding answer format mirrors that of Buck’s main text (including icons to indicate when the learner must determine the number of codes to assign).</li><li>Answers to odd-numbered questions are included in Appendix B, allowing you to check your accuracy.</li></ul>

Buck's 2026 HCPCS Level II

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