Risk Adjustment Coding And Hcc Guide
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| Author | : |
| Publisher | : Optum 360 |
| Total Pages | : |
| Release | : 2018-08-22 |
| Genre | : Medical |
| ISBN | : 9781622544554 |
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.
| Author | : Sheri Poe Bernard |
| Publisher | : American Medical Association Press |
| Total Pages | : 500 |
| Release | : 2020-03-02 |
| Genre | : |
| ISBN | : 9781640160392 |
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.
| Author | : |
| Publisher | : |
| Total Pages | : |
| Release | : 2020-11 |
| Genre | : |
| ISBN | : 9781622546541 |
| Author | : The Coders Choice LLC |
| Publisher | : |
| Total Pages | : 97 |
| Release | : 2019-10-08 |
| Genre | : |
| ISBN | : 9781698476964 |
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.
| Author | : American Medical Association |
| Publisher | : |
| Total Pages | : 1250 |
| Release | : 2021-09-20 |
| Genre | : |
| ISBN | : 9781640161559 |
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.
| Author | : American Medical Association |
| Publisher | : |
| Total Pages | : 1200 |
| Release | : 2021-09-17 |
| Genre | : |
| ISBN | : 9781640160873 |
CPT(R) 2022 Professional Edition is the definitive AMA-authored resource to help healthcare professionals correctly report and bill medical procedures and services.
| Author | : Department Of Health And Human Services |
| Publisher | : Lulu.com |
| Total Pages | : 128 |
| Release | : 2020-09-06 |
| Genre | : Medical |
| ISBN | : 9781716599989 |
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.
| Author | : Erik R. Ranschaert |
| Publisher | : Springer |
| Total Pages | : 369 |
| Release | : 2019-01-29 |
| Genre | : Medical |
| ISBN | : 3319948784 |
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.
| Author | : Agency for Health Care Research and Quality (U.S.) |
| Publisher | : Government Printing Office |
| Total Pages | : 236 |
| Release | : 2013-02-21 |
| Genre | : Medical |
| ISBN | : 1587634236 |
This User’s Guide is a resource for investigators and stakeholders who develop and review observational comparative effectiveness research protocols. It explains how to (1) identify key considerations and best practices for research design; (2) build a protocol based on these standards and best practices; and (3) judge the adequacy and completeness of a protocol. Eleven chapters cover all aspects of research design, including: developing study objectives, defining and refining study questions, addressing the heterogeneity of treatment effect, characterizing exposure, selecting a comparator, defining and measuring outcomes, and identifying optimal data sources. Checklists of guidance and key considerations for protocols are provided at the end of each chapter. The User’s Guide was created by researchers affiliated with AHRQ’s Effective Health Care Program, particularly those who participated in AHRQ’s DEcIDE (Developing Evidence to Inform Decisions About Effectiveness) program. Chapters were subject to multiple internal and external independent reviews. More more information, please consult the Agency website: www.effectivehealthcare.ahrq.gov)
| Author | : Lisa I. Iezzoni |
| Publisher | : Asociation of University Programs in Health Administration/Health Administration Press |
| Total Pages | : 0 |
| Release | : 2013 |
| Genre | : Decision making |
| ISBN | : 9781567934373 |
This text offers independent chapters for a multidisciplinary readership of students and professionals in areas such as biostatistics, public health, psychology, and health policy. It introduces concepts and methods for designing, using, and evaluating risk adjustment methods when comparing outcomes of care such as costs, clinical outcomes, and patient-centered outcomes in various health care settings. Because the field is broad and changing, the book does not review existing risk adjustment methods; instead, it concentrates on basic methods and principles that apply generally to risk adjustment. Individual chapters are devoted to data from administrative sources, medical records, and patient surveys. Later chapters cover practical issues in developing and evaluating risk adjustment methods and understanding their validity and reliability. There is also material on risk adjustment for specific populations. This fourth edition contains a new chapter on using risk adjustment in the management of health care organizations, plus new information on genetic, social, and environmental risk factors. This edition reflects current practice in electronic health records and health information technologies. Iezzoni teaches medicine at Harvard Medical School. Annotation ©2012 Book News, Inc., Portland, OR (booknews.com).
