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The Risk Adjustment Coding and HCC Guide brings together hard-to-find information about risk adjustment (RA) coding and hierarchical condition categories (HCCs) in a new comprehensive resource that explains this complex reimbursement methodology. Now your organization will have a guide that provides both the big picture and the fine detail needed to document, code, and report essential information so that accurate risk levels are assigned and appropriate reimbursement received.
Risk-adjustment practices consider chronic diseases as predictors of future health care needs and expenses. Correct and detailed documentation and compliant diagnosis coding are critical for proper risk adjustment. Risk Adjustment Documentation & Coding, 2nd Edition provides: Risk-adjustment parameters to improve documentation related to severity of illness and chronic diseases. Code abstraction guidelines and recommendations to improve diagnostic coding accuracy without causing financial harm to the practice or health facility. Chronic disease ICD-10-CM coding summaries for quick reference and study. The impact of risk-adjustment coding (hierarchical condition category (HCC) coding) on a practice should not be underestimated: More than 75 million Americans are enrolled in risk-adjusted insurance plans. This population represents more than 20% of those insured in the United States. Insurance risk pools under the Affordable Care Act include risk adjustment. CMS has proposed expanding audits on risk-adjustment coding. FEATURES AND BENEFITS Five chapters delivering an overview of risk adjustment, common administrative errors, best practices, and guidance for development of internal risk-adjustment coding policies. Ten chronic disease ICD-10-CM coding summaries for quick reference and study. Two appendices offering mappings and tabular information of ICD-10-CM codes that risk-adjust to HCCs and RxHCCs. Learning and design features: Vocabulary terms highlighted within the text and defined at the bottom of the page. "Advice/Alert Notes" that highlight important coding and documentation advice from federal regulatory sources. "Sidebars" that provide derivative story and additional information, such as "Coding Tips" that guide coders with practical advice from sources like AHA's Coding Clinic and cautionary notes about conflicts and exceptions "Clinical Examples" that underscore key documentation issues for risk adjustment "Clinical Coding Examples" that provide snippets or full encounter notes and codes to illustrate risk-adjustment coding and documentation concepts "Documentation tips" that highlight recommendations to physicians regarding what should be included in the medical record or how ICD-10-CM may classify specific terms "Examples" that explain difficult concepts and promote understanding of those concepts as they relate to a section "FYI" call outs that provide quick facts "Abstract & Code It!" exercises that test diagnosis abstraction and coding skills (exclusive to Chapter 4) Extensive end-of-chapter "Evaluate Your Understanding" sections that include multiple-choice questions, true-or false questions, audit and Internet-based exercises. Two downloadable course tests and slide presentations for each chapter. Exclusive content for academic educators: A test bank containing 100 questions and a mock risk-adjustment certification exam with 150 questions.
A Hierarchical Condition Category (HCC) is defined as a risk adjustment model that is used to calculate risk scores to predict future healthcare costs. The Centers for Medicare and Medicaid Services' (CMS) CMS-HCC model is used to predict healthcare spending for Medicare Advantage Plan enrollees. The purpose of the scoring model is to adjust capitated payments made to beneficiaries in these plans based on the member's health. HCCs were initially implemented by CMS in 2000 and have been phased in over time. This article will focus on the CMS-HCC model.The model is based on diagnosis codes and includes 79 HCCs. Age, sex, disability, and living circumstances--such as whether the individual is living at home, in a nursing home, or in a long-term care facility--also play a part in the calculations of an HCC.
These guidelines have been approved by the four organizations that make up the Cooperating Parties for the ICD-10-CM: the American Hospital Association (AHA), the American Health Information Management Association (AHIMA), CMS, and NCHS. These guidelines are a set of rules that have been developed to accompany and complement the official conventions and instructions provided within the ICD-10-CM itself. The instructions and conventions of the classification take precedence over guidelines. These guidelines are based on the coding and sequencing instructions in the Tabular List and Alphabetic Index of ICD-10-CM, but provide additional instruction. Adherence to these guidelines when assigning ICD-10-CM diagnosis codes is required under the Health Insurance Portability and Accountability Act (HIPAA). The diagnosis codes (Tabular List and Alphabetic Index) have been adopted under HIPAA for all healthcare settings. A joint effort between the healthcare provider and the coder is essential to achieve complete and accurate documentation, code assignment, and reporting of diagnoses and procedures. These guidelines have been developed to assist both the healthcare provider and the coder in identifying those diagnoses that are to be reported. The importance of consistent, complete documentation in the medical record cannot be overemphasized. Without such documentation accurate coding cannot be achieved. The entire record should be reviewed to determine the specific reason for the encounter and the conditions treated.
This book provides a thorough overview of the ongoing evolution in the application of artificial intelligence (AI) within healthcare and radiology, enabling readers to gain a deeper insight into the technological background of AI and the impacts of new and emerging technologies on medical imaging. After an introduction on game changers in radiology, such as deep learning technology, the technological evolution of AI in computing science and medical image computing is described, with explanation of basic principles and the types and subtypes of AI. Subsequent sections address the use of imaging biomarkers, the development and validation of AI applications, and various aspects and issues relating to the growing role of big data in radiology. Diverse real-life clinical applications of AI are then outlined for different body parts, demonstrating their ability to add value to daily radiology practices. The concluding section focuses on the impact of AI on radiology and the implications for radiologists, for example with respect to training. Written by radiologists and IT professionals, the book will be of high value for radiologists, medical/clinical physicists, IT specialists, and imaging informatics professionals.
This text is listed on the Course of Reading for SOA Fellowship study in the Group & Health specialty track. Healthcare Risk Adjustment and Predictive Modeling provides a comprehensive guide to healthcare actuaries and other professionals interested in healthcare data analytics, risk adjustment and predictive modeling. The book first introduces the topic with discussions of health risk, available data, clinical identification algorithms for diagnostic grouping and the use of grouper models. The second part of the book presents the concept of data mining and some of the common approaches used by modelers. The third and final section covers a number of predictive modeling and risk adjustment case-studies, with examples from Medicaid, Medicare, disability, depression diagnosis and provider reimbursement, as well as the use of predictive modeling and risk adjustment outside the U.S. For readers who wish to experiment with their own models, the book also provides access to a test dataset.
ICD-10-CM 2022: The Complete Official Codebook provides the entire updated code set for diagnostic coding, organized to make the challenge of accurate coding easier. This codebook is the cornerstone for establishing medical necessity, correct documentation, determining coverage and ensuring appropriate reimbursement. Each of the 22 chapters in the Tabular List of Diseases and Injuries is organized to provide quick and simple navigation to facilitate accurate coding. The book also contains supplementary appendixes including a coding tutorial, pharmacology listings, a list of valid three-character codes and additional information on Z-codes for long-term drug use and Z-codes that can only be used as a principal diagnosis. Official 2022 coding guidelines are included in this codebook. FEATURES AND BENEFITS Full list of code changes. Quickly see the complete list of new, revised, and deleted codes affecting the CY2022 codes, including a conversion table and code changes by specialty. QPP symbol in the tabular section. The symbol identifies diagnosis codes associated with Quality Payment Program (QPP) measures under MACRA. New and updated coding tips. Obtain insight into coding for physician and outpatient settings. Chapter 22 features U-codes and coronavirus disease 2019 (COVID-19) codes Improved icon placement for ease of use New and updated definitions in the tabular listing. Assign codes with confidence based on illustrations and definitions designed to highlight key components of the disease process or injury and provide better understanding of complex diagnostic terms. Intuitive features and format. This edition includes color illustrations and visual alerts, including color-coding and symbols that identify coding notes and instructions, additional character requirements, codes associated with CMS hierarchical condition categories (HCC), Medicare Code Edits (MCEs), manifestation codes, other specified codes, and unspecified codes. Placeholder X. This icon alerts the coder to an important ICD-10-CM convention--the use of a "placeholder X" for three-, four- and five-character codes requiring a seventh character extension. Coding guideline explanations and examples. Detailed explanations and examples related to application of the ICD-10-CM chapter guidelines are provided at the beginning of each chapter in the tabular section. Muscle/tendon translation table. This table is used to determine muscle/tendon action (flexor, extensor, other), which is a component of codes for acquired conditions and injuries affecting the muscles and tendons Index to Diseases and Injuries. Shaded guides to show indent levels for subentries. Appendices. Supplement your coding knowledge with information on proper coding practices, risk-adjustment coding, pharmacology, and Z-codes.
The Manual of Tests and Criteria contains criteria, test methods and procedures to be used for classification of dangerous goods according to the provisions of Parts 2 and 3 of the United Nations Recommendations on the Transport of Dangerous Goods, Model Regulations, as well as of chemicals presenting physical hazards according to the Globally Harmonized System of Classification and Labelling of Chemicals (GHS). As a consequence, it supplements also national or international regulations which are derived from the United Nations Recommendations on the Transport of Dangerous Goods or the GHS. At its ninth session (7 December 2018), the Committee adopted a set of amendments to the sixth revised edition of the Manual as amended by Amendment 1. This seventh revised edition takes account of these amendments. In addition, noting that the work to facilitate the use of the Manual in the context of the GHS had been completed, the Committee considered that the reference to the "Recommendations on the Transport of Dangerous Goods" in the title of the Manual was no longer appropriate, and decided that from now on, the Manual should be entitled "Manual of Tests and Criteria".
Risk Adjustment and Hierarchical Condition Category (HCC) coding is a payment model mandated by the Centers for Medicare and Medicaid Services (CMS) in 1997. Implemented in 2003, this model identifies individuals with serious or chronic illness and assigns a risk factor score to the person based upon a combination of the individual's health conditions and demographic details. The individual's health conditions are identified via International Classification of Diseases - 10 (ICD -10) diagnoses that are submitted by providers on incoming claims. There are more than 9000 ICD-10 codes that map to 79 HCC codes in the Risk Adjustment model. CMS requires documentation in the person's medical record by a qualified health care provider to support the submitted diagnosis. Documentation must support the presence of the condition and indicate the provider's assessment and/or plan for management of the condition. This must occur at least once each calendar year in order for CMS to recognize the individual continues to have the condition. The Centers for Medicare and Medicaid Services (CMS) Risk Adjustment Model includes nearly 80 HCC categories of chronic illnesses with thousands of diagnosis codes. Beginning HCC coders need solid instruction on HCC coding to properly map codes and ensure the organization receives the reimbursement payments. This webinar educates the audience on HCC coding and discusses popular risk adjustment coding guidelines. It identifies what makes a document valid for submission, including which sources of documentation should or should not be used. Attendees will have the opportunity to review common mistakes, like a lack of specificity in provider documentation. Often overlooked conditions, which are frequently undocumented by the provider, are also explained. The presenter will give a brief demonstration on how to determine if a condition is reimbursed or not, as well as a case study showing how to apply the theories learned. Through clarification of codes and specific examples, the speaker underscores the importance of provider documentation and its impact on reimbursement. This session is a great overall introduction for beginners and the perfect refresher course for those who have already begun and want to enhance their knowledge in the field. Objectives Learn about HCC coding and risk adjustment coding guidelines. Demonstrate how mapping tools help to properly identify HCCs. Understand the importance of provider documentation and its impact on reimbursement. Risk adjustment in the CMS- HCC model characteristics is based on multiple factors, which are analyzed and reduced to offer the right risk management plan for a patient. The factors that influence risk adjustment includes: Hierarchy of diseases: Ensuring that diagnoses are included in the appropriate disease groups and are in accordance with the necessary hierarchy. Disease Interactions: The additional factors that recognize and assess the severity of multiple conditions. Demographic Variables: These focus on the demographic of the patient's living conditions and demographics. Diagnostic Sources: CMS recognizes diagnoses from a hospital's inpatient, outpatient and physician settings only. Prospective model: The diagnoses based on last year are used to extrapolate the possible payments for the next year. Multiple conditions A patient can have multiple HCC categories assigned to them based on their medical conditions. In some cases, specific conditions can override others, when documenting. This is based on the strict hierarchy of the coding procedures. HCCs are captured once a year, every year in order for the CMS to reimburse payments to the Medicare Advantage. However, diagnoses from previous years are used to establish capitation payments to the Medicare Advantage plan.