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

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

This revised edition of Essential Knowledge and Skills for Healthcare Assistants is an accessible and comprehensive text designed to equip you with the necessary skills for your practice. This is an essential guide for all those training as healthcare assistants, nursing associates and assistant practitioners.

Essential Knowledge and Skills for Healthcare Assistants

Take your first step toward a successful career in medical coding with guidance from the most trusted name in coding education! The bestselling Buck’s Step-by-Step Medical Coding is a practical, easy-to-use resource that shows you exactly how to code using all current coding sets. To reinforce your understanding, practice exercises follow the explanations of each coding concept. In addition to coverage of reimbursement, ICD-10-CM, CPT, HCPCS, and inpatient coding, an Evolve website includes 30-day access to TruCode® Encoder Essentials. No other book so thoroughly covers all coding sets!<ul><li>Theory and practical review questions (located at the end of each chapter) focus on recalling important chapter information and application of codes.</li><li>A step-by-step approach makes it easier to build your coding skills and remember the material.</li><li>Learning objective and glossary review questions reinforce your understanding of key chapter concepts and terms.</li><li>Coverage reflects the latest CPT E/M guidelines changes for office and other outpatient codes.</li><li>30-day trial to TruCode® Encoder Essentials gives you experience with using an encoder (plus access to additional encoder practice exercises on the Evolve website).</li><li>UNIQUE! "Real-life" coding reports simulate the reports you will encounter as a coder and help you apply coding principles to actual cases.</li><li>Online activities on Evolve provide extra practice with assignments, including coding reports.</li><li>More than 450 illustrations help you understand the types of medical conditions and procedures being coded, and include examples taken directly from Elsevier's professional ICD-10 and HCPCS manuals.</li><li>UNIQUE! Four coding-question variations - covering both single-code questions and multiple-code questions and scenarios - develop your coding ability and critical thinking skills.</li><li>UNIQUE! Coders’ Index in the back of the book makes it easy to quickly locate specific codes.</li><li>Official Guidelines for Coding and Reporting boxes show the official guidelines wording for inpatient and outpatient coding alongside in-text explanations.</li><li>Exercises, Quick Checks, and Toolbox features reinforce coding rules and concepts, and emphasize key information.</li><li>Valuable tips and advice are offered in features such as From the Trenches, Coding Shots, Stop!, Caution!, Check This Out, and CMS Rules.</li><li>Sample EHR screenshots (in Appendix D) show examples similar to the electronic health records you will encounter in the workplace.</li></ul>

Buck's Step-by-Step Medical Coding, 2025 Edition

Choose the book designed by coders for coders! Buck's 2026 ICD-10-PCS includes all the ICD-10-PCS codes you need to ensure the most accurate billing and reimbursement for inpatient medical procedures. As coders need extensive knowledge to code with ICD-10-PCS - and to choose from the thousands of possible codes - this edition provides colorful anatomy plates (including Netter’s Anatomy illustrations) and tables organized to simplify the process of choosing and building procedure codes. It comes with durable spiral binding, and includes a companion website with the latest coding updates.<ul><li>ICD-10-PCS Official Guidelines for Coding and Reporting (OGCR) provide easier reference to coding rules when they are needed most.</li><li>Convenient Guide to the 2026 Updates in the front of the book lists all new, revised, and deleted codes, providing at-a-glance lookup of the coding changes.</li><li>UNIQUE! Full-color anatomy plates (including Netter’s Anatomy art) are included in the front of the book to help you understand complex anatomic information and how it may affect choosing codes.</li><li>American Hospital Association's Coding Clinic® citations include official ICD-10-PCS coding advice relating to specific codes and their usage.</li><li>Hospital-Acquired Condition (HAC) symbol notes procedures related to HACs as outlined in the MS-DRG.</li><li>Symbols for Non-Covered and Limited-Coverage Procedures indicate related material outlined in the Definitions of Medicare Code Edits.</li><li>Sex edits from the Definition of Medicare Code Edits denote codes that are used only with patients of a specific sex.</li><li>Non-Operating Room Procedure symbols identify procedures that do and do not affect MS-DRG assignment.</li><li>Combinations symbol identifies procedures that can affect MS-DRG assignment.</li><li>Online Appendix: Procedure Combination Table displays each procedure cluster and the corresponding DRG, as well as a few procedure combinations that are designated as non-OR.</li></ul><ul><li>NEW! Updated 2026 Official Code set reflects the latest ICD-10 codes needed for procedural coding.</li></ul>

Buck's 2026 ICD-10-PCS

A fascinating combination of patient stories and scientific explanation shedding light on the most promising trend in healthcare today: precision medicine In Precision Medicine, AI and the Science of Personalized Healthcare, senior researcher at Harvard Business School and former CEO of DecisionRx, a pioneering medication therapy optimization company, James Wallace, delivers an eye-opening new discussion of how cutting-edge precision medicine is transforming the cost, access, and outcomes of modern healthcare. The author relies on real-world experiences that showcase the practical, human benefits of precision medicine and how those benefits can accrue to people from all walks of life. You'll discover how personalized treatments--those based on a patient's genetic, environmental, and lifestyle attributes--can do more than traditional medicine to combat a wide variety of genetic disorders, chronic illnesses, and treatment inefficiencies. You'll also learn about precision medicine's potential to lower healthcare costs for everyone while improving outcomes. Inside the book: <ul> <li>Explorations of how precision medicine can address the triple crisis of cost, access, and quality that currently plagues the US healthcare system</li> <li>Unique combinations of compelling human stories and accessible scientific explanations that render a complex subject approachable and relatable</li> <li>A compelling argument for how the precision medicine movement can transform the healthcare system and the lives of the people who navigate it every day</li> </ul> Perfect for healthcare, technology, and business professionals grappling with the skyrocketing costs of patient care, Precision Medicine, AI and the Science of Personalized Healthcare is also a must-read for healthcare consumers frustrated by the current, "one-size-fits-all" approach to medicine.

Precision Medicine, AI and the Science of Personalized Healthcare

Methods and Applications

Advanced Techniques for Modifying Metaheuristics

Focuses&nbsp;on fundamental concepts of gathering, processing, analyzing the dataset from rich healthcare and biomedical sources. Covers interdisciplinary techniques such as data science, deep learning, statistics, big data analytics, smart devices, computer vision and IoT.

Healthcare Solutions Using Machine Learning and Informatics

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

This book teaches readers how to analyse data using a programming language called 'R'. R is freely available software and is easily the most widely used program in ecology and evolutionary biology, and is quickly becoming the program-of-choice in other fields such as neuroscience and psychology.

A Practical Guide for the Life Sciences and Beyond

Applied Statistics with R

Selecting diagnosis codes is faster and easier with Buck's 2026 ICD-10-CM for Physicians. Designed by coders for coders, this full-color manual includes all the ICD-10 codes that you need to code medical services provided in physicians’ offices and outpatient settings. 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 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 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 users to assign placeholder X for codes less than 6 characters that require a 7th character.</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>NEW! Updated 2026 Official Code set reflects the latest ICD-10 codes needed for diagnosis coding.
</ul>

Buck's 2026 ICD-10-CM for Physicians

Pharmacology and Therapeutics for Dentistry

Healthcare Applications of Neuro-Symbolic Artificial Intelligence provides a comprehensive introduction to the field of neuro-symbolic (NS) artificial intelligence (AI), presenting the most recent advances in deep learning and integration of NS systems and large language models (LLMs). This book evaluates traditional approaches, current approaches, as well as the author’s own approach to NS, to create hybrid architectures and reasoning techniques to overcome the limitations of most existing AI systems such as deep learning, neural networks, and symbolic AI. This book will be a welcome resource for researchers and graduate students in AI, natural language processing, and biomedical informatics, as well as professionals in software development looking to redesign current systems to leverage LLMs through the health application of NS architecture.

Healthcare Applications of Neuro-Symbolic Artificial Intelligence

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

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

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